Institute of Control and Computation Engineering · The Institute of Control and Computation Engineering (ICCE) was established in 1992 as the fourth institute at the Faculty. Up

BIENNIAL REPORT 2005-2006

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Institute of Control

and Computation Engineering

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BIENNIAL REPORT 2005-2006

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Institute of Control

and Computation Engineering

1992-2007 Our 15th Anniversary

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Deputy Director

Prof. Dariusz Uciński, Ph.D., D.Sc.e-mail: [email protected]

HeaD of tHe SyStemS analySiS anD intelligent computation DiviSion

Prof. Andrzej Obuchowicz, Ph.D., D.Sc.e-mail: [email protected]

HeaD of tHe information SyStemS DiviSion

Prof. Krzysztof Gałkowski, Ph.D., D.Sc.

e-mail: [email protected]

HeaD of tHe telecommunicationS anD computer Security DiviSion

Prof. Roman Gielerak, Ph.D., D.Sc.

e-mail: [email protected]

Director

Prof. Józef Korbicz, Ph.D., D.Sc.e-mail: [email protected]

MANAGEMENT

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STAFF

SyStemS analySiS anD intelligent computation DiviSion

1. Prof.JózefKorbicz [email protected]

2. Prof.AndrzejObuchowicz(HeadoftheDivision) [email protected]

3. Prof.AndrzejPieczyñski [email protected]

4. Dr.MarekKowal [email protected]

5. Dr.AndrzejMarciniak [email protected]

6. Dr.MarcinMrugalski [email protected]

7. Dr.KrzysztofPatan [email protected]

8. Dr.MarcinWitczak [email protected]

9. MaciejHrebieñ,M.Sc. [email protected]

10. MartaPaw³owska,M.Sc. [email protected]

11. Przemys³awPrêtki,M.Sc. [email protected]

information SyStemS DiviSion

1. Prof.KrzysztofGa³kowski(HeadoftheDivision) [email protected]

2. Prof.EugeniuszKuriata [email protected]

3. Prof.DariuszUciñski [email protected]

4. Dr.BartoszKuczewski [email protected]

5. Dr.Pawe³Majdzik [email protected]

6. Dr.WojciechPaszke [email protected]

7. Dr.MaciejPatan [email protected]

8. Dr.Bart³omiejSulikowski [email protected]

9. B³a¿ejCichy,M.Sc. [email protected]

10. £ukaszH³adowski,M.Sc. [email protected]

telecommunicationS anD computer Security DiviSion

1. Prof.RomanGielerak(HeadoftheDivision) [email protected]

2. Assoc.Prof.AndrzejJanczak [email protected]

3. Dr.TomaszHebisz [email protected]

4. Dr.Przemys³awJacewicz [email protected]

5. Dr.S³awomirNikiel [email protected]

6. Dr.PiotrSteæ [email protected]

7. MarekSawerwain,M.Sc. [email protected]

aDminiStrative anD tecHnical Staff

1. EwaLehmann,M.A.(Secretary) [email protected]

2. Dr.MariuszM¹dry(Chair,Lab.Engineer) [email protected]

3. GracjanG³owacki,M.Sc.(Lab.Engineer) [email protected]

4. MarcinPaszek,M.Sc.(Lab.Engineer) [email protected]

5. BeataBukowiec,B.Sc.(EditorialOffice) [email protected]

6. AgataWiœniewska-Kubicka,M.Sc.(EditorialOffice) [email protected]

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GENERAL INFORMATION

ZielonaGóraisthe“heart”oftheLubuskieProvince,whichislocatedinwesternPoland.TheLubuskieregionisthecrossingpointofimportanttradingroutesleadingfromtheNorthtotheSouthandfromtheWesttotheEast.ThetownisconvenientlylocatedbetweenBerlin,Wroc³aw,Prague,Poznañ,SzczecinandDresden.

TheUniversity’soriginsdatefrom1965,whentheHigherCollegeofEngineeringwasfoundedinZielonaGóra.TheCollegeobtainedafullacademicstatusandbecametheTechnicalUniversityofZielonaGórainSeptember1996.FiveyearslatertheTechnicalUniversityofZielonaGórawasintegratedwiththePedagogicalUniversityinZielonaGóra.Asaresult,theUniversityofZielonaGórawasestablishedonSeptember1,2001,asanindependentacademicinstitution.

TheUniversityiscomposedofthreeschools:

SchoolofEngineering,

SchoolofSciencesandEconomics,

SchoolofArts,HumanitiesandSocialSciences.

Almost all faculties (11 subject areas) have the rights to confer doctoral degrees and three of them, the Facultyof Electrical Engineering, Computer Science and Telecommunications, the Faculty of Humanities and the Faculty ofMathematics,ComputerScienceandEconometrics,havetherightstoconferpostdoctoral(doctor habilitatus)degrees.TheUniversityemploysalmost1100membersofacademicstaff, including254professorsand437doctors.TheUniversityoffersundergraduate(B.Sc.),graduate(M.Sc.),postgraduateanddoctoral(Ph.D.)curriculaforbothfull-timeandpart-timestudents.Atpresent,theUniversityprovideseducationformorethan18500students(11300ofwhomstudyfulltime)in31subjectareasand110optionsforspecialization.

TheFaculty of Electrical Engineering, Computer Science and Telecommunicationsiscomposedoffourinstitutes:

InstituteofComputerEngineeringandElectronics,

InstituteofControlandComputationEngineering,

InstituteofElectricalEngineering,

InstituteofElectricalMetrology.

TheFacultyhastherightstoconferdoctoraldegreesincomputer scienceandelectrical engineeringandpostdoctoral(doctor habilitatus)degreesinelectrical engineering.

TheFacultyemploys113membersofacademicstaff,including23professors,51doctors,and39Master’sdegreesholders.

The Faculty offers undergraduate (B.Sc.), graduate (M.Sc.) and doctoral (Ph.D.) curricula in three subject areas:Computer Science, Electrical Engineering and Electronics and Telecommunications.Moreover,postgraduatecourses inComputer Scienceareoffered.Altogetherthereare1821students, including1132studentsofComputer Science,342studentsofElectrical Engineeringand347studentsofElectronics and Telecommunications.

TheInstitute of Control and Computation Engineering(ICCE)wasestablishedin1992asthefourthinstituteattheFaculty.Up to1999our Institutewascalled the Institute of Robotics and Software Engineering. Today’sorganizationalstructureoftheInstituteincludes:

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SystemsAnalysisandIntelligentComputationDivision,

InformationSystemsDivision,

TelecommunicationsandComputerSecurityDivision,

EditorialOfficeoftheInternational Journal of Applied Mathematics and Computer Science,

EngineeringUnit.

TheInstitute’sacademicstaffcomprises29members,including7professors,12doctors,and10Master’sdegreesholders.

Meeting with Division Heads

Our Secretary

GENERAL INFORMATION

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GENERAL INFORMATION

Members of the Systems Analysis and Intelligent Computation Division

Members of the Information Systems Division

Members of the Telecommunications and Computer Security Division


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RESEARCH PROFILE

Soft computing anD evolutionary computationS

Computational intelligence has resulted fromasynergybetweenneuralnetworks, fuzzysets, roughsets,artificialimmunesystemsandevolutionarycomputations.Themain researchactivity isconcentratedonneuralandneuro-fuzzynetworks,evolutionarycomputation,andtheir integration.Theoretical investigationsofneuralnetworksare focusedon:multilayerperceptronswithdynamicmodels,learningalgorithms,structureoptimizationbyevolutionaryalgorithms;GMDHnetworks and their extensions: multi-output and dynamic networks; learning strategies for ensembles of feedforwardnetworks.Moreover,fuzzyandneuro-fuzzysystems,especiallymethodsofstructuredesignandparameteroptimization,areinvestigated.TheelaboratedmethodsofArtificialIntelligence(AI)areappliedtoprocessmodelling,identificationandpatternrecognition.Themainemphasisisputonfaultdetectionanddiagnosissystems.Moreover,AIapproachesareappliedtotheprocessingandmanufacturingofmaterials.Theinvestigationsareconcentratedonthemodellingofproductionsystemscomplexity,riskanalysisanddecisionunderuncertainty.

Evolutionary computations.Theoreticalandsimulationanalysisdealswiththeeffectivenessofevolutionaryalgorithmsinfindingglobaloptimaforstronglynon-linear,multi-modalandmulti-dimensionalobjectivefunctions,andtheiradaptationefficiency in non-stationary environments. The main research topics include phenotype evolutionary algorithms withmutationsbasedonnon-isotropicandisotropicα-stabledistributions.Theoreticalandsimulationstudiesarefocusedontheapplicationofevolutionaryalgorithmstocontrolsystemsdesign,faultdetectionandisolationandpatternrecognition.

tecHnical DiagnoSticS – moDelling, iDentification anD control

In the context of fault detection and isolation, the research is concerned with the investigation of both analyticalandsoftcomputingmethods.Classicmathematical toolsusedintraditionalFaultDetectionandIsolation(FDI)areverysensitivetomodellingerrors,parametervariations,noiseanddisturbances.Thus,themainresearchattentionisfocusedoneliminatingtheseundesirablephenomena.Theemphasisisputonsoftcomputingmethodsandtheirintegrationwithanalyticalapproaches.Inparticular,variousneuralnetworks,fuzzylogicandgeneticprogramming-basedapproachesareconsideredforbothstaticanddynamicnon-linearsystems.Animportantresearchdirectionisconcernedwithexperimentaldesignperformedinordertominimisemodeluncertainty,i.e.themismatchbetweenthesystemandthemodel.Inparticular,suchastrategywaseffectivelyappliedtoneuralnetworksresultinginmorereliableandaccurateneuralmodelsthanthosedesignedwithoutit.Knowledgeregarding(possiblysmall)modeluncertaintyisespeciallyimportantfromthepointofviewofmodel-based fault diagnosis. It makes it possible todesigna fault detectionand isolation schemewhichminimisestheprobabilityoffalsealarmsaswellasundetectedfaultsresultinginsevereeconomicallosses.Thisimpliesthatneuralnetworksdesignedwiththeabove-mentionedexperimentalstrategycanserveasaneffectivetoolforfaultdetection.

The proposed solutions were examined and tested using various benchmark problems, e.g. a laboratory two-tanksystemwithadelay line,a computer simulatorofapowerplant stationand realdata from theLublin sugar factory inPoland.

Inordertoincreasethereliabilityoffaultdiagnosis,severalapproachesweredevelopedtodesignrobustfaultdetectionobserversfornon-linearsystems.Inthiscase,themainresearchattentionispaidtotheso-calledunknown-inputobservers.Inparticular,anumberofrelativelysimpledesignprocedures,whichguaranteetheconvergenceoftheresultingobserver,wereproposed fornon-lineardeterministicsystems.Moreover, theproblemof fault isolationwaseffectivelysolvedwith

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abankoftheabove-mentionedobservers.

Faultisolationproblemsarealsoinvestigatedusingneural,fuzzy,neuro-fuzzyandanalyticalclassifiers.Basedonexpertsystemtechniques,theintegrationproblemofquantitativeandqualitativemethodswasinvestigated.Theresearchactivitiesinfuzzylogicapplicationsaremainlyorientedtowardsdevelopingeffectivemethodsoffuzzyknowledgerepresentationsinexpertsystems,theadaptationoffuzzynormsforfaultclassifiers,developingfuzzymodelstructuresaswellasfuzzylogictechniquesinknowledgedatadiscovery.

ThemostrecentresearchactivityisconcernedwiththeintegrationoffaultdiagnosisandcontrolwithintheunifiedFault-TolerantControl(FTC)framework.Inparticular,specialattentionisfocusedonfaultidentificationwithbothanalyticalandsoftcomputingtechniqes.Anotherimportantresearchdirectionisorientedtowardsfastandreliablecontrolerre-designinthecaseoffaults.

Withastrongresearchbackgroundinthefieldofwidelyunderstoodfaultdiagnosis,severalprojectsfinancedbytheEuropeanCommissionandtheMinistryofScienceandHigherEducationoftheRepublicofPolandwereconducted.

multiDimenSional (nD) SyStemS anD repetitive proceSSeS

Multidimensionalsystemstheoryhasbeenanareaofactivegrowthinthepasttwotothreedecades,whichisaresultofitswidespreadapplications.Thekeyfeatureofthedynamicsofamultidimensionalsystemisdependencyonmorethanone indeterminateso that information ispropagated inmany independentdirections.Physicalprocessessuchaswavepropagation,atmosphericandriverpollution,iterativelearningcontrolforrobotmanipulators,signalcodingandfilteringincommunicationssystemsand3Dobjectrenderingincomputergraphicsandanimationindustryaresomeofthenumerousapplicationswithinherentmultidimensionalcharacteristics.Moreover,somecomputationalalgorithmsanddataanalysisprocedures,suchasiterativelearningcontrol,haveanintrinsic(andunder-exploited)multidimensionalstructureduetothepresenceofmorethanonespatialvariable,orthecombinedeffectofspaceandtimevariables.

Recently,wehaveadoptedasystem-theoreticapproachtostudythestabilityandcontrollersynthesisofmultidimensionalprocessesthatmaypossesstransportation lags,algebraicconstraints,uncertainties,andnon-linearitiesandparametervariabilities,e.g.periodic.

Anumberofassociatedissuesinvolvingperformancespecificationaswellasenhancement,robustness,andreliabilityareaddressed.Multidimensionalprocessesincontinuousanddiscretetime,aswellasthosehavingdifferential-differenceandsingulardescription,areconsidered.Feedbackstabilizationsubjecttoperformancespecificationsisinvestigatedforavarietyoffeedbackschemes.Particularattentionispaidtostabilityandcontrollerdesignforprocesseswithrepetitive,ormultipass,behaviorcharacterizedbyaseriesofsweepsthroughasetofdynamicsdefinedoverafixedfinitedurationknownaspasslength.Witheachpass,thepassprofileisproduced,whichactsasaforcingfunctiononthenextpassprofile.Long-wallcoalcuttingandmetalrollingareimportantpracticalprocessesofthiskind.Onecentraltaskisthedevelopmentofaunifiedstate-spacetheoryforstabilityandsynthesisformulatedintermsofmatrixinequalities,whichissupposedtohavelowercomputationalcomplexitythantheotherapproaches.Thecomputationalpowerisaimedtobestrengthenbyexploitingparallelcomputingmethods.

RESEARCH PROFILE

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DiStributeD parameter SyStemS – tHeory anD applicationS

Theresearchfocusesontheproblemofwheretolocatemeasurementsensorssoastoguaranteemaximalaccuracyofparameterestimation.Thisisofparamountinterestinapplications,asitisgenerallyimpossibletomeasurethesystemstateovertheentirespatialdomain. Inparticular,theoptimalmeasurementproblemforspatiallymovablesensorswasconsidered. Optimal design of moving sensor trajectories is increasingly attracting attention in the context of sensornetworks,whichplayaroleofimportanceintheresearchcommunity.Technologicaladvancesincommunicationsystemsandthegrowingeaseinmakingsmall,lowpowerandinexpensivemobilesystemsnowmakeitfeasibletodeployagroupofnetworkedvehiclesinagivenenvironment.Applicationsinvariousfieldsofresearcharebeingdevelopedandinterestingongoingprojectsincludeextensiveexperimentationbasedontestbeds.

Inthiscontextanumberofapproachesweredevelopedforoptimalpathplanningofmovingsensorsinexperimentsrelatedtoparameterestimationofdistributedparametersystems,butalsointhesituationswhensomeadditionalcontrolobjectiveshavetobesatisfied.Inparticular,time-optimalobservationstrategieswereconsideredtogetherwiththeproblemofdeterminingaproperspatialdistributionofmovingsensorsoverthedomainconsidered.Themainideaoftheproposedapproachesconsistsinreformulatingtheproblemofoptimizingsensorsmovementsintermsofanoptimalcontroloneanditseffectivesolutionwiththeuseofsomeexistingnumericalpackages.Inaddition,asanalternativetechniqueforplanningsensortrajectories,acomputationallyattractiveapproachbasedondynamicprogrammingwasproposed.

Otheraspectsoftheresearchcoverthefollowingareas:

parameterestimationandstatisticalinferencefordistributedparametersystems(usingahigh-performancesoftware suchasSAS,Fortran 95withMatforandIMSLlibraries,andMatlab),

identifiabilityofparametersindistributedsystemsandtherelatedsensorlocationproblem,

numericalmethodsforpartialdifferentialequationsincludingfiniteelementandfinitedifferencemethods,

computersimulationofrealphysicalprocesses(e.g.airandgroundwaterpollution)withtheuseofmodern computationtoolssuchasFastflo,Fortran 95withMatforandIMSLlibraries,Matlab,andMaple 10,

exploitingcellularautomataasatoolformodellingrealsystemsandanalternativetotheclassicdescription bypartialdifferentialequations,

optimalsensorlocationfordiscriminationbetweencompetingmodelsofdistributedparametersystems,

faultdetectionandisolationfordistributedparametersystems(analyticalmethodsbasedonstateand parameterestimation),

parallelcomputingforoptimumexperimentaldesignindistributedparametersystems.

applieD cryptograpHy, error-correcting coDing, computer Security

Themostessentialapplicationofcontemporarycryptographyistheprotectionofdataagainstunauthorizedaccessandtransmissionerrors.Thistaskisparticularlyimportantforallactivitiesofthepresentcomputernetworksandsystems.Theaimoftheresearchistodevelopmethodsofthesynthesisofelectronicdocumentsinaformwhichcanbeequivalenttosignedpaperdocuments.Theresearchactivitiesconcernthefollowingproblems:

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systemsofpublickeyinfrastructureandtheirapplications,

problemsofpublickeygeneratingbyaclient-sidewithlimitedtrust,

synthesisofelectronicdocumentsfullyequivalenttoclassicpaperdocuments,

fastsoftwareimplementationofcryptographicalgorithms,operationsinGaloisfields,encodinganddecoding algorithms,

constructingciphersdetectingmanipulationsoncryptograms,

constructionofLatinsquaresofhigherordersandapplyingthemfordesigningquasigroup-basedsynchronous andself-synchronizingstreamciphers,

techniquesfordistributingconfidentialkeys,

digitalsignaturealgorithms,

identificationandentityauthentication.

computer grapHicS anD virtual reality SyStemS

Computer graphics. The main goal is to broaden the capabilities of computer graphics and to introduce newmathematicalmodellingmethods into imagecreationprocesses.Chaosand fractal theoriesareplaced in the focusofresearchactivitiesinthisfield.Theresultscanbeappliedtoterrainmodelling,furthercurvesandsurfaces, lightmodelevaluationandtherepresentationofintricategraphicalstructures.

Visualization.Theaimistostudyhowweperceiveandrecognizevisualthingsandhowwemayusecomputergraphicsto give insight to data and information. New paradigms for human-computer interactions are tested employing off-the-shelftechnologiesforhardwarecommunication.Thesubjectalsoprovidedopportunitiesforcreativitythroughthegraphicmedium.Inthenearestfuture,visualizationtechniqueswillbeextendedtoencompassmoregeneralinformationinadditiontonumericaldata,andwillleadtoessentialtoolsforallwhosearchforanduseinformation,whetherinbusiness,commerce,manufacture,education,orscience.

Virtual environments and multimedia. The main goal is to develop new interactive forms of human-computercommunication, which is especially challenging in three-dimensional environments. Also, the reconstruction of non-existingarchitecturalobjectsfallswithinthescopeoftheresearch.Thefollowingsubjectsarealsostudied:syntheticworldgeneration,softwaretoolsandtoolkits,X3D,representational issues,LODs,databases,performance issues,distributedenvironments.

RecentinternationalstandardssuchasMPEG-4andMPEG-7arespeciallydesignedtosupporttheseapplications.The main research is the development of unsupervised video segmentation algorithms. The algorithms should detectsemanticobjectsthataremovingwithrespecttoamovingorstationarybackground.Thecomplexityofthesealgorithmsshouldbe lowenoughtoallowreal-time implementation.Themainanalytical toolsusedtoperformthis taskareactivecontour models, especially those from the group of level set methods. The research field also includes medical imagesegmentationandanalysiswithfocusoncytologicalmicroscopicimages.

RESEARCH PROFILE


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Digital cultural Heritage

Digitalculturalheritagecoversarangeoftechnologiesfordigitalpreservation,reconstructionanddisseminationofculturalcontentincludingnarrativeaspectsanddigitalmultimediaeducation.Virtualenvironmentsexploreintuitiveaccesstoarichspatialcontent.Researchintovirtualenvironmentssystemshasoftenexploredtheconceptofpresence,whichcanbedefinedasthe“illusionofnon-mediatedinteraction”.Themainaimistoextendtheareasofthisresearchintothefield of re-creating virtualworlds reflecting objects andplacesofhistorical interest so thatusers fromany backgroundcanfeelasiftheywerereallythere,andthusvisualizationswillfocusonphoto-realisticrendering.Userpresencecanbeimprovedthroughthedevelopmentoftoolsandtechniquesforthecreationofreal-timevirtuallandscapes,whichprovideadynamicnewperspectiveofbothdryandsubmergedancientlandscapesfromgeographicalandculturalheritagedata.Thesetechniquesincludeboththecorrectionoflensdistortion,appropriatelight/shadingmodelsdeliveredinrealtimeandrapidprototypingthatfacilitatestheiterativeprocessofreconstructionbasedonuncertainandfragmenteddata.Theuseofscenarios,narrativesanddeepunderstandingofwhatisimportantincertainlocationscangreatlyenhanceexperienceforscientificpurposes.Sofar,severalhistoricalplaceshavebeenvirtuallyre-created,includingtheSynagogueinZielonaGóra,themedievalcentreofZielonaGóraandtheCityHallinPoznañ.TheprojectswereconsequentlypresentedatanEVAconferenceinBerlin.Currently,projectsrelatedtotheabove-mentionedtechnologyconstitutepartofthePEACH(PresenceinAction)FP6CoordinationAction.

founDationS of quantum information tHeory

Quantum Information (QI) is a new field of science and technology, which draws upon the disciplines of physicalscience,mathematics,computerscience,andengineering. Itsaimistounderstandhowfundamentalphysical lawscanbeharnessedtoimproveradicallytheacquisition,transmission,andprocessingofinformation.TheinspirationforQIisthediscoverythatquantummechanicslawscouldbeexploitedtoperformveryimportantandotherwiseintractableinformation-processingtasks.Quantumeffectshavealreadybeenusedtocreatefundamentallyunbreakablecryptographiccodes,toteleportthefullquantumstateofaphoton,andtocomputecertainfunctionsinfewerstepsthananyclassicalcomputercan(quantumcomputationsandquantumalgorithms).

Sincetheacademicyear2003/04thesenewideashavebeenpopularisedthroughsystematiclecturesandseminarsorganisedforstudentsandjuniorreserchersofourFaculty.ThemainobjectiveofthisactivityistocreateanewresearchgroupconcentratedontheoreticalproblemsofQI.Inparticular,asystematicplatformforexchangingideasinaworkingformwasoriginatedasaninterdisciplinaryseminarentitledQ-INFO and all of that.

ApreliminaryversionofsoftwareforsimulatingtheactionofaquantumcomputeronalocalcomputerclusteratourInstitutewascompletedandtestedinthemiddleof2005.Themainobjectiveofthisactivity istocreate innearfuturesoftware for simulating quantum computations on a bigger scale based on the resources of the national hyperclusterCLUSTERIX.

ThemainaimofthepresentactivityofarecentlyformedresearchteamistocatalyzeandstimulatetheQIresearchatourFaculty.ForthispurposewedevelopandteachnovelQI-basedcourses,holdregularinterdisciplinaryseminarsandworkshops(inthefuture),supervisePh.D.thesesandsupportundergraduateresearchinternships.

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RESEARCH LABORATORIES

laboratory of moDern control SyStemS anD optimization

Modern Control Systems and Optimization Laboratory provides a laboratory environment for both education andresearchintheareaofcomputer-basedcontrolsystems.Fourmainresearchtopicscanbeidentified:

artificialintelligenceincontrolsystemsapplications,includingneuralnetworks,fuzzylogic,neuro-fuzzynetworks, andexpertsystems,

processfaultdetectionandisolation,

systemmodellingandidentification,

2Dandmultidimensionalsystems.

Theeducationalprofileof the laboratory is fullycorrelatedwith the lecturesonautomaticcontrol,moderncontrolsystems,andthemodellingandsimulationofcontrolsystems,whicharedeliveredtobothundergraduateandgraduatestudentsofComputer ScienceandElectrical Engineering.

In our laboratory, we have state-of-the-art equipment for research into and practice of control engineering. Theequipmentincludesthefollowingtestbeds:

two-tanksystemwithflowdelay,

tandempendulumsystem,

magneticsuspensionsystem,

speedcontrolsystemwithvariableload,

airflowandtemperaturecontrolsystem,

laboratoryexperimentalrobot.

Forall thesesystems, real-timedigitalcontrolproceduresare implemented,whichcommunicatewithbothsystemsensorsandsystemactuatorsby I/Oboardsandpower interfaces.The I/Oboardsarecontrolledbyreal-timesoftware,

Lego Mindstorm NTX

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whichoperatesintheMatlab/Simulinkenvironment.SomeofthesystemsarecontrolledbyProgrammableLogicControllers(PLCs)aswell. Thisnotonly showsstudentshowPLCsworkbutalsogives thempractical informationabout installing,programmingandmaintainingPLCsystems.

ThelaboratoryisequippedwithPentiumPCs,widelyusedforthemodellingandsimulationofcontrolsystems,andforpracticeinmoderncontroltheory.ThebasicsoftwareusedinourlaboratoryisMatlab 7.1withvarioustoolboxes,andMaple 10.

Recently,thelaboratoryhasbeensuppliedwithseveralkitsofLEGO Mindstorm 1.0brickstoghetherwiththeRobolab 2.5.4softwarebeingaverymoderntoolusedforthepurposeofteachingstudentsroboticdesignbyprovidingthemwithhardware,softwareandinformationtheyneedtodesign,constructandprogramtheirownrobots.EachkitoftheLEGO Mindstormbrickscontainsasetofvarioussensorsandactuatorssupplementedwithacentralprocessorunit,whichcanoperateautonomouslyormaybecontrolledfromaPCviaaninfraredlink.Thisoffersagreatflexibilityforrobotdesignandextensiveexperimentationbasedonvarioustestbedsusedinthelaboratory.Withintheframeworkofthislaboratorygraduatestudentsputintopracticetheirownprojects,andparticipateinexhibitionsandinternationalLEGOroboticcompetitons.

laboratory of Software engineering anD intelligent computationS

The laboratory is strictly related to the Institute’s research activities in the field of artificial intelligence and itsapplicationstocontrolsystems,faultdetectionandisolationsystems,aswellaspatternrecognition.Itallowsconductingexperimentsintheareasofneuralnetworks(neuralmodellingofdynamicsystems,neuralcontrolsystems,patternrecognitionandclassification,experimentaldesignforneuralnetworks),softcomputing(parameteradaptationandoptimizationviaevolutionaryalgorithms,geneticallydesignedsystemmodels, fuzzyandneuro-fuzzysystems,geneticprogramming,andhybridsystems),expertsystems,andcellularautomata(complexenvironmentalsystems).

Basedontheequipmentofthislaboratory,thefollowingadvancedcoursesareoffered:Artificial Intelligence, Expert Systems, Intelligent Computation Systems, Neural Networks, Evolutionary Computations, Pattern RecognitionandComputer Algebra Systems.

Thelaboratory’stoolsarebasedonthefollowingsoftwareandhardware:

Fingerprintrecognitionscanner,

Matlab 7.1withSimulink,Control,Neural Network,StatisticsandFuzzy Logic toolboxes,

Maple 10,

EXSYS–ashellforexpertsystems,

Sun Java Application Platform SDK,

IBM WebSphere,

Borland BuilderandDelphi.

Anotheractivityinthelaboratoryisorientedtowardsadvancedprogrammingenvironments.Inparticular,somecoursesaredevotedtotheso-calledRapidApplicationDevelopment(RAD)softwareandrelatedmoderntechnologies,e.g.Borland’sdbExpress,DataSnap,WebSnapandJava’s Web Application Technologies,Web Services Technologies,etc.


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laboratory of computer grapHicS anD multimeDia

Themainfunctionofthislaboratoryistosupportclassesincomputergraphics,multimediaandvirtualenvironmentsextending the graphics techniques taught earlier to cover practical aspects of programming. The laboratory providesstudentswiththeunderstandingoftheimpactoftechnologyandsoftwaretoolsbymeansofcasestudies,anddevelopsanawarenessofpotentialapplicationsofcomputersandtheircurrentlimitations.

Therangeofapplicationsintroducedbythelaboratorycoversmedicalgraphics,imageprocessingandanalysis,terrainmodelling,fractals,furthercurvesandsurfaces,rationalforms,physics-basedmodelling,particlesystems,animation,flightsimulationandterraingeneration.

Thelaboratoryprovidesservicesforundergraduateandgraduatecomputerscienceeducation,especiallyforstudentswhotakecoursesinsubjectssuchas:

Introduction to Computer Graphics Programming(C++,Pascal),

Computer Graphics Applications(Photoshop,Corel,Cinema4D,Premiere),

Programming Languages(C, C++),

Multimedia Engineering,

Virtual Reality and Game Programming,

Fractals and Chaos.

MS Windowsisusedforteachingalongwithprofessionalsoftware,whichincludesAdobe Premiere ProandMaxon Cinema 4D.However,attentionisalsopaidtoconceptsandtoolsthatareavailableonmostplatforms(GPLand/orOpenSource)

CoursesavailabletomoreadvancedgraduatestudentsinthislaboratoryincludeAdvanced Multimedia Programming,Network-Based Media Applications,Digital Video ProjectsandNon-Linear Editing.

laboratory of intelligent information SyStemS

Thelaboratoryisequippedwith10high-performancePCsthataretailoredforteachingthefundamentalsofmoderninformationsystemsanddataminingtograduatesinSoftware EngineeringbasedonthelatestversionoftheSASsystem(ver.9).SASisaleadingdecisionsupportanddatawarehousingsoftwaresuitethatbringstogetherallthetoolsneededforanalyticalsolutions,datamining,businessvisualization,rapidapplicationsdevelopment,andmuchmore.Thus,studentshavetheopportunitytolearndataminingusingtheEnterprise Miner,thefirstandonlydataminingsolutionthataddressestheentiredataminingprocess–allthroughanintuitivepoint-and-clickgraphicaluserinterface.CombinedwithSASdatawarehousing and OLAP technologies, it creates a synergistic, end-to-end solution that addresses the full spectrum ofknowledgediscovery.ClassesarealsoprovidedtofamiliarisestudentswithAppDev Studio,thefirstthin-clientapplicationdevelopmentsolutionthatfocusesspecificallyoninformationdelivery.ThisintegratedsuiteoftoolsallowsbuildingWeb-based applications that use CGI and HTML, Java servlets and the JavaServer Pages technology, or sophisticated Javaapplicationsandappletstoaccessinformation-deliverycapabilitiesofSAS.Apartfromthat,severalotherSASsolutionsare



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usedinteachingregardingdecisionsupport,datavisualization,datamining,statisticalanalysisandreporting(e.g.STAT,ETS,OR,QR,SECURE).

laboratory of tHe founDationS of computer Science anD parallel computation

Thislaboratoryisextensivelyusedbystudentswhogothroughthefollowingcourses:

Introduction to Computer Science (Pascal),

Computer Architecture,

Programming Languages(C),

Data Structures and Algorithms,

Object-Oriented Programming (C++,Java),

Software Engineering,

Database Systems,

Discrete Mathematics,

Numerical Methods.

MS Windows 2000/XPandLinuxareusedinteaching,butattentionisprimarilypaidtoconceptsandtoolsthatareavailableonmostplatforms.Coursesavailabletomoreadvancedgraduatestudentsinthislaboratoryinclude:

Parallel Computating,

Parallel and Distributed Programming(ADA 2005),

Modelling Parallel and Distributed Systems,

PC-Cluster Programming(C,C++,MPI).

Animportantpartofdistributedprogrammingistodesignandprogramsystemsforclusterarchitectures.

laboratory of operating anD networking SyStemS

The laboratory is strictly oriented towards educational and research activities connected with operating systems,includingnetworkingsystems.Thelaboratoryisequippedwith12PentiumIV-basedcomputers,whichcanberununderthecontrolofWindows 2000 Professional/Windows XP Professional orLinux.Coursesavailabletoadvancedgraduatestudentsinclude:

Operating Systems(withspecialattentionpaidtoWindows 2000 ProfessionalandLinux/UNIX),

Network Operating Systems(Linux,QNX,Solaris 2 Unix),

Network Programming(Java,Borland C++ Builder,Borland Delphi,Unixenvironmentprogramming),

Computer Networks.

Bothhardwareandsoftwareequipmentallowsstudentstostudytheprinciplesofcommonoperatingandnetworkingsystems,andtolearnadministrationissuesandAPIprogramminginacomfortableandefficientway.


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laboratory of tHe founDationS of quantum computationS

Thelaboratoryisrelatedtothenewandrapidlygrowingdisciplineofcomputerscienceandquantumphysics.Themainpurposeofourlaboratoryistoprovidespecializedsoftwareforeducationandresearchintheareaofquantumcomputations.Themainresearchtopicsincludethefollowingareas:

quantumcryptographyprotocols,

quantumerrorcorrectioncodesandfaulttolerantquantumcomputations,

quantumprogramminglanguagesandtheirsemantics,

softwaresimulationsofquantumcomputationmodels.

The educational profile concerning the foundations of quantum computations is connected with the lectures onQuantum Computation Theory.ThemaintoolusedforthispurposeisspeciallydevelopedsoftwarecalledtheQuantumComputationSimulator(QCS).TheQCSsystemallowsustosimulateseveraltypesofquantumcomputationmodelsatsmallscales.Atpresent,thefollowingfeaturesareimplemented:

PQC–pseudoquantumcircuitswhichconsistoftwogates:notandcnot,

CHP–quantumcircuitscomposedofthefollowinggates:cnot,hadamard,phasechangeandsinglequbit measurements,

QCM–standardquantumcircuitmodel(auniversallibraryofgatesisallowed),

densitymatricesandseveralstandardmatricestoolssuchasfidelity(andsomeothermetricsforquantumstates), spectralanalysistoolsand,inparticular,theSchmidtdecompositionareimplemented.

Thelaboratory,whichbyitsverynatureisavirtualone,isequippedwithmodernPC-hardwareworkstations,whichareusedforthesimulationofquantumalgorithms.Anotherfeatureisthepossibilityofformingsmall-specializedclustersfromtheavailableworkstationstorunmoreadvancedexamplesfromtheareaofquantumcomputations.

laboratory of wireleSS communication

This laboratory supports education and research regarding applications of modern wireless technologies, GSMtechnologies,wirelessLANsandBluetooth.

The laboratoryconsistsof10PCsequippedwithwirelesscards in the802.11gstandardandBluetoothadapters.Additionally,newcellphonesunder thecontrolofSymbian areavailable:Nokia6600,Nokia9210iandSonyEricssonP900.ThisallowsperformingtransmissiontestswithHSCSDandGPRSprotocols.Furthermore,studentscanprogramandconfigurethesephonesusingC++orJavalanguagesintheJavaMEprofile.

Moreover,threeseparatewirelessnetworksareinterconnectedtoexchangedata.Amongthem,twonetworksworkundertheIEEE802.11b/gprotocol,andoneusestheBluetoothtechnology.Duringclassesstudentsgetacquaintedwithmethodsoftheconfigurationandsecuringofthesewirelessnetworksagainstundesirableaccess.

Themaingoaloftheresearchpursuedinthelabistobroadenthecapabilitiesofthemoderntechnologyofwireless



CMYK

data transmission, develop mobile applications using the latest programming platforms and methods of protection ofwirelesscommunicationnetworks.

local ciSco acaDemy laboratory

TheCISCOlaboratoryletsourstudentstoparticipateintheNetworking Academy ProgramofferedbyCISCOSystems,Inc. For many professionals around the world, this is one of the most important steps to get a promising professionaldevelopmentinthenetworkingandITindustries.TheCISCONetworkingAcademyprogramprovidesstudentswithvaluablenetworkingskills, includingroutingandswitching,aswellasadvancedtechnologies–wireless,networksecurity,voice,storage,homenetworkingandoptical. Theacademycurriculumcoversabroad rangeof topicsstarting from thebasicknowledgeonhowtobuildanetworkuptoadvancedWANtechnologies,andmorecomplexITconceptssuchasapplyingadvancedtroubleshootingtools.Thecourseprovidesaninnovativeeducationalprogrambasedone-learningandonlineassessmentwithautomatedscoringintegratedwithagradebookforstudentsandinstructors.Duringthecoursestudentshave an opportunity to perform all necessary practical tasks and hands-on-labs that could be encountered in theirprofessionalcareers.Theprogramisstillbeingimprovedbyaddingsomenoveltieswhenevertheyturnup.ThewholecourselastsfoursemestersandoffersanopportunitytoobtainaCISCOCCNAcertificate.InthenearfutureitisplannedtostartanotherCISCOcourseforprofessionals(FWL),devotedtotheconfigurationofwirelessnetworks.

InMay2006,theAcademyjoinedtheprojectE-employee.The skills development of Small and Medium Enterprises staff towards application of modern computer technologiesfundedbytheEuropeanUnion.Thisprogramallowsrefundingthecostsoftrainingforemployeesfromthesectorofsmallandmediumenterprises.

Thelaboratoryisequippedwith13PCs(Athlon643200+with2GBRAM,17”TFTLCDmonitorsetc.).Moreover,CISCOnetworkhardware(includingrouters:2514,2610,2811,2801,andswitches:WS-C2924-XL-EN,WS-C2950T-24)isavailabletostudentstoimproveandtesttheirskills.


Local Cisco Academy Laboratory

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EDUCATION

TheInstituteoffersPh.D.,M.Sc.andB.Sc.degreesincomputer scienceandelectrical engineering.ThePh.D.degreerequires8semesters(fouryears)andasatisfactoryPh.D.thesis.TheM.Sc.degreerequires10semesters(fiveyears)andasatisfactorythesis,whereastheB.Sc.degreerequiresonly7semesters(3.5years)andasatisfactorydiploma.Moreover,theInstituteofferspostgraduatecoursesinComputer Science,whichlasttwosemesters(1or1.5year).

Ingeneral,theInstituteofferstwooptionsforspecializationinM.Sc.andB.Sc.studies:

Software Engineering in Computer Science,

Computer Control SystemsinElectrical Engineering,

and,additionally,twooptionsforB.Sc.studies:

Data Communications in Electronics and Telecommunications,

Automatics and Robotics(tobeavailablefrom2007).

GraduatesinSoftware Engineeringarequalifiedtowork,e.g.as

softwareengineeringspecialists,

designersand/oradministratorsofcomputersystems.

Duringthestudiesemphasisisputon

efficientuseofdigitaltechniques,softwareandcomputerhardware:elementsofcomputergraphicsandmultimedia techniques,modernengineeringdesignpackages,andreal-timeprogramminglanguages,

computer-aideddecisionsupporttechniquesandsystems:monitoringtechnologicalprocesses,knowledgediscovery, datamining,patternrecognition,andartificialintelligence,

object-orientedanddistributeddatabases:design,constructionandadministrationofadvisorysystems andsimulators,

computernetworks:LAN,WANandtheInternet,

concurrentanddistributedsoftwaresystemsdedicatedtomultiprocessorcomputersandclusters.

GraduatesspecializinginComputer Control Systemsareeducatedtoworkas

designersofdataprocessingsystems,

designersandadministratorsofcomputercontrolsystems.

Duringthestudiesemphasisisputonthefollowingareas:

efficientuseofcomputerengineering:computerarchitecture,digitalsystems,softwareformicroprocessordevices, digitalsignalprocessing,andcomputergraphics,

CADsystems:modernengineeringdesignpackages,DSPpackages,

informationsystems:expertsystems,datamining,real-timesystems,andprocessingindistributedsystems,

controlsystems:identification,optimalcontrol,neural-fuzzycontrol,optimization,artificialintelligence, andtechnicaldiagnostics.


CMYK

GraduatesspecializinginData Communicationsareeducatedtoworkas

designersandadministratorsofinformationsecuritysystems,

designersandadministratorsofteleinformaticssystems.

Duringthestudiesemphasisisputonthefollowingareas:

digitaltelecommunicationssystems,wirelesscommunicationsystemsanddatatransmission,

microprocessoranddigitalsignalprocessortechnologiesappliedtothedesignoftelecommunicationssystems,

securityengineering:hardwareandsoftwarefordatasecurity,cryptography,publickeyinfrastructureforelectronic documentmanagement,securityinwirelesscommunicationprotocols,

codingandinformationtheories:informationmeasurement,algebraicdecodingmethodsoflinearandcycliccodes,

informationsystems:expertsystems,real-timesystems,andprocessingindistributedsystems,

computernetworks:LAN,WANandtheInternet,

softwaresystemsdedicatedtowirelessdevices.

pH.D. StuDieS

Head: Prof.AndrzejObuchowicz

Duration: 4years,8semesters

Number of students: 41

OnOctober1,2002,ourFacultystartedofferingPh.D.studies(inPolandonlyacademicinstitutionswiththerightstoconferpostdoctoral(doctor habilitatus)degrees,ordoctoraldegreesintwodisciplines,areallowedtorunthislevelofstudies).TheInstituteisinvolvedinthosestudies.ExemplarycoursesofferedtostudentsbyprofessorsoftheInstituteare:

Statistical Methods for Engineers(Prof.DariuszUciñski),

Foundations of Quantum Information Theory(Prof.RomanGielerak),

Computational Intelligence Systems(Prof.AndrzejObuchowicz),

Fault Diagnosis of Systems and Processes(Prof.AndrzejPieczyñski).

Currently(January2007),ninePh.D.thesesarebeingsupervisedbyprofessorsoftheInstitute:

MarcinAndrzejewski:Structure and paramater optimization of fuzzy models. Supervisor:Prof.AndrzejPieczyñski,

Pawe³Aulich:Business intelligent system with integration of artifficial intelligence elements based on a temporal information system. Supervisor:Prof.AndrzejPieczyñski,

EDUCATION

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Przemys³awBaranowski:Parallel and distributed algorithms of optimum experimental design. Supervisor:Prof.DariuszUciñski,

JacekBochniak:Control system design for switched repetitive processes. Supervisor:Prof.KrzysztofGa³kowski,

AdamGoiñski:Surface reconstruction using stochastic adaptation algorthms. Supervisor:Prof.AndrzejObuchowicz,

MarcinKliñski:Hybrid anomaly detection system in computer networks. Supervisor:Prof.JózefKorbicz,

TomaszNieczkowski:Computer aided analysis of microscopic images of fine needle biopsy material from breast cancer. Supervisor:Prof.AndrzejObuchowicz,

DariuszWawrzyniak:Evolutionary adaptation in non-stationary environments. Supervisor:Prof.AndrzejObuchowicz,

TomaszZiêba:Parallel processing in solving optimal observation problems for distributed parameter systems. Supervisor:Prof.DariuszUciñski.

poStgraDuate courSeS in Computer SCienCe

Head: Prof.JózefKorbicz

Duration: 2semestersofextramuralstudies

Average number of students: 16

Thecoursesareoffered topeoplewithM.Sc.or,exceptionally,B.Sc.degrees,whoneedbackgroundoradvancedknowledgeincomputerscience.Twooptionsforspecializationareoffered:

Internet Techniques and Computer Networks,

Computer Science Technologies.

EDUCATION


CMYK

ACADEMIC STAFF

Prof. Józef Korbicz, Director

Scientific StanDing

Soft computing methods and techniques:artificialneuralnetworks(optimizationofmultilayernetworks,GMDH (GroupMethodsofDataHandling)networksandtheirextensions,networkswiththedynamicmodelofneurons), fuzzyandneuro-fuzzysystems(structureandparameteroptimization),bounded-erroranalysis,expertsystems;

Fault detection and isolation:analyticalmethods(model-basedapproach,robustobservers,unknowninput observers);softcomputingtechniques(neuralandneuro-fuzzymodels,classifiers,optimizationofdiagnostic systems,expertsystems);

Modelling and simulation:distributedparametersystems(modelling,stateandparameterestimation,sensors andactuatorslocation),applications(sugarandpowerplants,airpollutionprocesses).

teacHing

Soft Computing,Numerical Methods,Mathematical Methods in Computer Science,seminars.

recent publicationS

Confidence estimation of GMDH neural networks and its application in fault detection systems.KorbiczJ. andMrugalskiM.–Int. J. Systems Science,2007(accepted).

LMI-based strategies for designing observers and unknown input observers for nonlinear discrete-time systems. KorbiczJ.andWitczakM.–Bulletin of the Polish Academy of Sciences: Technical Sciences,2007(accepted).

Robust fault detection using analytical and soft computing methods.KorbiczJ.–Bulletin of the Polish Academy of Sciences: Technical Sciences,2006,Vol.54,No.1,pp.75-88.

A GMDH neural network-based approach to robust fault diagnosis. Application to the DAMADICS benchmark problem.WitczakM.,KorbiczJ.,MrugalskiM.andPattonR.J.–Control Engineering Practice,2006,Vol.14,No.6, pp.671-683.

Fault detection under fuzzy model uncertainty.KowalM.andKorbiczJ.–Proc.6thIFACSymp.onFault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS,Bejing,China,2006,pp.103-108,CD-ROM.

Fault Diagnosis. Models, Artificial Intelligence, Applications.KorbiczJ.,KoœcielnyJ.M.,KowalczukZ. andCholewaW.(Eds.):Springer-Verlag,2004,920p.

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Prof. Dariusz Uciński, Deputy Director

Scientific StanDing

Distributed parameter systems:optimalsensorandactuatorlocation(fixed,scanningandmovingsensors);

Optimum experimental design:applicationstoidentificationofdynamicsystems;

Numerical methods for partial differential equations:finiteelementandfinitedifferencemethods,computer simulationofrealphysicalprocesses;

Algorithmic optimal control:state-constrainedproblems;

Wireless sensor networks:informationprocessingandalgorithmicaspects;

Artificial intelligence:cellularautomataasameansofmodellingrealsystems;

Mobile robotics:self-localizationandnoveltydetection.

teacHing

Optimization Methods,Data Analysis,Probabilistic Methods,Identification Techniques,Mathematical Methods in Computer Science,Introduction to Computer Science,seminars.

recent publicationS

D-optimal design of a monitoring network for parameter estimation of distributed systems.UciñskiD.andPatanM. –J. Global Optimization,2007(accepted).

A constrained optimum experimental design problem for model disrimination with a continuously varying factor. UciñskiD.andBogackaB.–J. Statistical Planning and Inference,2007(accepted).

Sensor motion planning in distributed parameter systems using Turing’s measure of conditioning.UciñskiD. andChenY.Q.–Proc.45thIEEEConf.Decision and Control – CDC ‘06.SanDiego,USA,2006,CD-ROM.

Sensor placement for discrimination between rival models of distributed parameter systems.UciñskiD. andKuczewskiB.–Proc.45thIEEEConf.Decision and Control – CDC ‘06.SanDiego,USA,2006,CD-ROM.

T-optimum designs for discrimination between two multiresponse dynamic models.UciñskiD.andBogackaB. –J. Royal Statistical Society: Series B(Statistical Methodology),2005,Vol.67,No.1,pp.3-18.

Optimal Measurement Methods for Distributed Parameter System Identification.UciñskiD.–BocaRaton, FL:CRCPress,2005,371p.

ACADEMIC STAFF


CMYK

Prof. Krzysztof Gałkowski, Division Head

Scientific StanDing

Multidimensional nD systems and repetitive processes:theoryandapplications:control,uncertainty,LMImethods;

Numerical and symbolic computations:Matlab,Maple,Scilab;

Computer simulation of physical processes:metalrollingandcoalcutting;

Complex hybrid and hierarchical systems:theoryandapplications.

teacHing

Numerical Methods,Computer and Modern Control Systems,seminars.

recent publicationS

Control Systems Theory and Applications for Linear Repetitive Processes.RogersE.,Ga³kowskiK.,OwensD.H. –Lecture Notes in Control and Information Sciences,Vol.349,Springer-Verlag,2007(inprint).

Decoupling and iterative approaches to the control of discrete linear repetitive processes.SulikowskiB., Ga³kowskiK.,RogersE,OwensD.H.–Multidimensional Systems and Signal Processing,Vol.18,2007(accepted).

Relaxed pass profile controllability of discrete linear repetitive processes,H³adowski£.,Ga³kowskiK.,RogersE. andOwensD.–Int. J. Control,2006,Vol.79,No.8,pp.938-958.

An LMI approach to the computation of lower bounds for stability margins of 2D discrete systems,XuS.,LamJ., GalkowskiK.andLinZ.–Dynamics of Continuous, Discrete and Impulsive Systems, Applications and Algorithms, 2006,Vol.13,No.2,pp.221-236.

Stabilization of discrete linear repetitive processes with switched dynamics,BochniakJ.,Ga³kowskiK.,RogersE., MehdiD.,BachelierO.andKummertA.–Int. J. Multidimensional Systems and Signal Processing,2006, Vol.17,No.2/3,pp.271-295.

LMI based analysis for continuous-discrete linear shift-invariant nD systems,BochniakJ.andGalkowskiK. –J. Circuits, Systems and Computers,2005,Vol.14,No.2,pp.307-332.

Stability and stabilisation of acausal discrete linear repetitive processes,GalkowskiK.,KummertA.,CichyB. andRogersA.–Proc. Appl. Math. Mech.(PAMM),2005,pp.155-156.

ACADEMIC STAFF

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Prof. Roman Gielerak, Division Head

Scientific StanDing

Quantum information theory:mathematicalproblemsofquantuminformationprocessing(computationalcomplexity, quantumcomputations,quantumalgorithms,simulationsofquantumcomputations,quantumgames);

Quantum theory:mathematicalproblemsandapplicationsofquantumsystemswithmanydegreesoffreedom, macroscopicquantumphenomenaandtheirpossibleapplicationstoquantumprocessinginformation;

Mathematical modelling of non-relativistic quantum Bose matter containing a Bose-Einstein condensate;

General theory of entangled quasi-free thermal structures on Weyl algebras.

teacHing

Foundations of Quantum Information Theory,Cryptology,Computer Mathematics,Numerical Analysis,seminars.

recent publicationS

Quantum computing simulation.GielerakR.andSawerwainM.–Software Developer’s Journal,2006,No.10, pp.64-71.

Security of key transmission.Paw³owskiK.andGielerakR.–In:PochopieñB.,KwiecieñA.,GrzywakA. andKlamkaJ.(Eds.):New Technologies in Computer Networks.Vol.2,WydawnictwaKomunikacjii£¹cznoœci, 2006,pp.375-384(inPolish).

Operational semantics in quantum informatics.SawerwainM.,GielerakR.andPileckiJ.–In:WêgrzynS., ZnamirowskiL.,CzachórskiT.andKozielskiS.(Eds.):New Technologies in Computer Networks.Vol.1, WydawnictwaKomunikacjii£¹cznoœci,2006,pp.69-77(inPolish).

QCL - a quantum programming language.GielerakR.andSawerwainM.–Software Developer’s Journal, 2005,No.8,pp.34-40.

Statistical mechanics of a class of anyonic systems. Rigorous approach.GielerakR.andRalowskiR. –J. Nonlinear Mathematical Physics,2004,Vol.11,pp.85-91.

ACADEMIC STAFF


CMYK

Prof. Eugeniusz Kuriata

Scientific StanDing

Development of cryptographic algorithms;

Generation of electronic documents;

Application of error correcting codes in cryptography;

Public Key Infrastructure (PKI).

teacHing

Encoding Techniques,Cryptology,Information Security Management,Information Theory,Coding Theory,seminars.

recent publicationS

Keys distribution for asymmetric cryptographic systems.KuriataE.–In:SaeedK.andPejaœJ.(Eds.):Information Processing and Security Systems,Springer-Verlag,2005,pp.148-158.

Accessibility of information in realtime systems.HebiszT.andKuriataE.–In:SaeedK.andPejaœJ.(Eds.): Information Processing and Security Systems,Springer-Verlag,2005,pp.197-206.

Problems of sending sensitive information.KuriataE.–In:SaeedK.,MosdorfR.,PejaœJ.,HilmolaP. andSosnowskiZ.(Eds.):Image Analysis, Computer Graphics, Security Systems and Artificial Intelligence Applications,Vol.1,UniversityofFinanceandManagementinBia³ystok,2005,pp.233-247.

Hash chaining for authenticated data structures freshness checking.KuriataE.,MaækówW.andSukiennikP. –In:SaeedK.,MosdorfR.,PejaœJ.,HilmolaP.andSosnowskiZ.(Eds.):Image Analysis, Computer Graphics, Security Systems and Artificial Intelligence Applications,Vol.1,UniversityofFinanceandManagementinBia³ystok,2005, pp.249-259.

Generation of cryptographic keys at a customer.KuriataE.–Informatyka Teoretyczna i Stosowana,2005,Vol.5, No.8,pp.161-176(inPolish).

The electronic document.KuriataE.andMyszkowskiP.B.–Computing, Multimedia and Intelligent Techniques: SpecialissueonLive Biometrics and Security,2005,Vol.1,No.1,pp.163-171.

ACADEMIC STAFF

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Prof. Andrzej Obuchowicz, Division Head

Scientific StanDing

Computational intelligence:evolutionaryalgorithms,artificialneuralnetworks,hybridsystems;

Global optimization and adaptation methods:measuresofalgorithmefficiency,adaptationin non-stationaryenvironmentsandmulticriterialadaptationwithevolutionaryandstochasticalgorithms;

Max-plus algebra applications to Discrete-Event Dynamic Systems(DEDSs):modellingandperformance analysisofDEDSs,foundationsofcontroltheoryofDEDSswithinthemax-plusalgebraformalism;

Computer-aided medical diagnosis:cytomorphometryoffineneedlebiopsymaterialfrombreastcancer, automaticdiagnosticsystemsbasedondigitalslidesofhistologicalandcytologicalmicroscopicmaterials.

teacHing

Theoretical Foundations of Computer Science,Algorithms and Data Structures,Soft Computing, Evolutionary Computing,Global Optimization Methods,Numerical Methods,seminars.

recent publicationS

Stability of the evolutionary search with the local selection and α-stable mutation.ObuchowiczA.–Int. J. Information Technology and Intelligent Computing,2006,Vol.1,pp.35-44.

Evolutionary adaptation in non-stationary environments, a case of study.ObuchowiczA.andWawrzyniakD. –In:WyrzykowskiR.,DongarraJ.,MeyerN.,andWaœniewskiJ.(Eds.):Parallel Processing and Applied Mathematics. – Lecture Notes in Computer Science,Vol.3911,Springer-Verlag,2006,pp.439-446.

Some aspects of multidimentional mutations in evolutionary algorithm.KorbiczJ.,ObuchowiczA.andPrêtkiP. –In:GrzegorzewskiP.,KrawczakS.andZadro¿nyS.(Eds.):Issues in Soft Computing Theory and Applications, AkademickaOficynaWydawniczaEXIT,2005,pp.3-45.

Cytomorphometry of fine needle biopsy material from the breast cancer.MarciniakA.,ObuchowiczA.,MonczakR., andKo³odziñskiM.–In:KurzyñskiM.,Pucha³aE.,WoŸniakM.and¯o³nierekA.(Eds.): Computer Recognition Systems,Springer-Verlag,SeriesonApplied Soft Computing,Vol.30,2005,pp.603-609.

Evolutionary Algorithms for Global Optimization and Dynamic System Diagnosis.ObuchowiczA.–ZielonaGóra: LubuskieScientificSociety,2003,196p.

ACADEMIC STAFF


CMYK

Prof. Andrzej Pieczyński

Scientific StanDing

Soft computing:artificialneuralnetworks,fuzzysystems,fuzzyneuralnetworks,structureandparameter optimizationoffuzzymodels,knowledgediscovery;

Fault detection and isolation:fuzzymodellingofprocesses,technicaldiagnostics,fuzzyfaultclassifiers;

Knowledge-based computer systems:fuzzyknowledgerepresentationinexpertsystems,featurediagrams appliedtodiagnosticsystems,powerplantdiagnosissystems.

teacHing

Artificial Intelligence,Expert Systems,Control Systems,Computer Architecture,Computer Programming,Database Systems,Neuro-Fuzzy Control,Technical Diagnostics,Intelligent Computation Systems,seminars.

recent publicationS

Adjusting software-intensive systems developed by using software factories and fuzzy features.RobakS. andPieczyñskiA.–In:RutkowskiL.,SiekmannJ.,TadeusiewiczR.andZadehL.A.(Eds.):LectureNotesinArtificial Intelligence,Vol.4029:Int.Conf.Artificial Intelligence and Soft Computing, ICAISC,Springer-Verlag,2006, pp.297-305.

Fuzzy model structure and parameters optimization with evolutionary algorythm application.PieczyñskiA. –WissenschaftlicheBerichte:13thEast West Fuzzy Colloquium,2006,Heft89,pp.34-39.

Application of the artificial intelligence to fuzzy model parameters tuning.AndrzejewskiM.andPieczyñskiA. –WissenschaftlicheBerichte:12th East West Fuzzy Colloquium,2005,Heft84,pp.226-230.

Variant system features modeled with fuzzy weights in the development with software factories.RobakS. andPieczyñskiA.-WissenschaftlicheBerichte:12thEast West Fuzzy Colloquium,2005,Heft84,pp.23-29.

Cost-effective fault detection with the application of web cameras.PaczyñskiA.andZaj¹cM.–Pomiary, Automatyka, Kontrola,2005,No.9,pp.317-318.

Application of a features diagram in the industrial procesess diagnostics.PieczyñskiA.andAulichP.–Pomiary, Automatyka, Kontrola,2005,No.9,pp.80-82.

ACADEMIC STAFF

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Assoc. Prof. Andrzej Janczak

Scientific StanDing

System identification:methodsandalgorithmsfortheidentificationofnonlineardynamicsystems;

Identification of multidimensional systems and repetitive processes;

Artificial neural networks:learningtheory,applicationstosystemsmodellingandcontrol;

Polynomial and neural network block-oriented models:parameterestimation,structureoptimization;

Gradient-based and evolutionary algorithms:trainingdynamicneuralnetworkmodels,modelstructureoptimization;

Model-based approach to fault detection and isolation:applicationstoindustrialprocesses.

teacHing

Control Theory,Modern Control Systems,System Identification,Digital Signal Processing,Artificial Intelligence Methods,seminars.

recent publicationS

Instrumental variables approach to identification of a class of MIMO Wiener systems.JanczakA.–Nonlinear Dynamics,2007,Vol.48,No.3,pp.275-284.

Identification of polynomial MIMO Wiener systems using instrumental variables method.JanczakA.andKorbiczJ. –Proc.12thIEEEConf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland,2006, pp.929-934,CD-ROM.

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models. A Block-Oriented Approach. JanczakA.–Springer-Verlag,2005,197p.

Parametric and neural network Wiener and Hammerstein models in fault detection and isolation.JanczakA. –In:KorbiczJ.,KoœcielnyJ.M.,KowalczukZ.andCholewaW.(Eds.):Fault Diagnosis. Models, Artificial Intelligence, Applications,Springer-Verlag,2004,pp.381-410.

Identification Wiener and Hammerstein Systems with Neural Networks and Polynomial Models.Methods and Applications.JanczakA.–UniversityofZielonaGóraPress,2003,185p.

ACADEMIC STAFF


CMYK

Dr. Tomasz Hebisz

Scientific StanDing

Cryptography and cryptoanalysis:block-andstreamciphers,modernsymmetricandasymmetriccryptosystems, fastsoftwareimplementationofcryptographicalgorithms;

Information theory:error-correctingcodes,linearcodes,cycliccodes,algebraicmethodsofcycliccodes’decoding, operationsinGaloisfields,encodinganddecodingalgorithms;

Cryptology and linear algebra:computationalcomplexity,combinatorialproblems;

Computer and data security:dataprotectioninsystemsandcomputernetworks,publickeyinfrastructure,data securityinwirelesscommunication,ciphersdetectingmanipulationsoncryptograms,Latinsquaresincryptography.

teacHing

Computer Graphics,Multimedia,Desktop and Web Publishing,Object Oriented Programming,Security Engineering, Client-Server Database Systems.

recent publicationS

The capacity of ciphers fulfilling the accessibility of cryptograms.HebiszT.andKuriataE.–In:PejaœJ. andPiegatA.(Eds.):Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems, Springer-Verlag,2005,pp.13-22.

Accessibility of information in realtime systems.HebiszT.andKuriataE.–In:SaeedK.andPejaœJ.(Eds.): Information Processing and Security Systems,Springer-Verlag,2005,pp.197-206.

Problems of fulfilling the accessibility of information in real-time systems.KuriataE.,HebiszT.–Pomiary, Automatyka, Kontrola,2005,Vol.4,pp.6-10(inPolish).

The capacity of ciphers fulfilling the accessibility of cryptograms.HebiszT.–In:Advanced Computer Systems, KluwerAcademicPublishers,2004,pp.25-34.

ACADEMIC STAFF

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Dr. Przemysław Jacewicz

Scientific StanDing

Artificial intelligence:cellularautomata,modelling,parallelcomputations;

Identification of discrete dynamic systems:parameterandstructuralidentificationofcellularautomata;

Numerical methods of discrete optimization:evolutionaryalgorithms,localsearchtechniques;

Parallel processing:simulationofcellularautomata,optimizationofparallelalgorithms;

Computer forensics:detectionofillegalorunauthorizedactivities,datarecovery,dataclassificationandanalysis.

teacHing

Mathematical Methods in Computer Science,Network Operating Systems,Object-Oriented Programming,Parallel and Distributed Computations.

recent publicationS

Data protection – a case study.JacewiczP.andRybickiA.–Proc.8thWorkshopData Communication Crime, Szczytno,Poland,2005,pp.59-66(inPolish).

LUCAS: An original tool for landscape modelling.ElYacoubiS.,ElJaiA.,Jacewiczp.andPausasJ. –J. Environmental Modelling and Software,2003,Vol.18,pp.429-437.

Analyse et contrôle par automates cellulaires.ElYacoubiS.,JacewiczP.andAmmorN.–Annals of University of Craiova, Math. & Comp. Sc. Series,2003,Vol.30,pp.210-212.

Model Analysis and Synthesis of Complex Physical Systems Using Cellular Automata.JacewiczP.–Lecture Notes in Control and Computer Science,Vol.4,UniversityofZielonaGóraPress,2003,134p.

A cellular automata approach to modelling forest dynamics.JacewiczP.andKorbiczJ.–Proc.10thInt.Conf.System Modelling Control, SMC,Zakopane,Poland,2001,Vol.1,pp.307-314.

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I N S T I T U T E O F C O N T R O L & C O M P U T A T I O N E N G I N E E R I N G �1

CMYK

Dr. Marek Kowal

Scientific StanDing

Soft computing:fuzzyandneuro-fuzzysystems,fuzzymodelling,fuzzyclassifiers,fuzzyclustering;

Technical and biomedical diagnostics:model-basedapproaches,symptomextraction,robustfaultdetectionunder modeluncertainty,biomedicalimageprocessing;

Model uncertainty:evaluationoffuzzymodeluncertaintyusingboundingerrorapproaches,applicationstofault detection,decisionmakingunderuncertainty;

Knowledge discovery:clusteringalgorithms,decisiontrees,dataminingandknowledgediscoveryalgorithms fordatawarehouses,webmining.

teacHing

Elements of Artificial Intelligence and Expert Systems,Data Warehouses and Data Mining,Java and Web Technologies,Uncertainty and Risk Modelling,Methods and Systems of Data Processing.

recent publicationS

Neuro-fuzzy networks and their application to fault detection of dynamical systems.KorbiczJ.andKowalM. –Engineering Applications of Artificial Intelligence,2007(accepted).

Fault detection under fuzzy model uncertainty.KowalM.andKorbiczJ.–Proc.6thIFACSymp.Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006.Beijing,China,2006,pp.775-780,CD-ROM.

Robust fault detection using neuro-fuzzy models.KowalM.andKorbiczJ.–Przegl¹d Elektrotechniczny,2006, No.1,pp.32-36.

Optimization of Neuro-Fuzzy Structures in Technical Diagnostics Systems.KowalM.–Lecture Notes in Control and Computer Science,Vol.9,UniversityofZielonaGóraPress,2005,113p.

Robust fault detection under fuzzy-neural model uncertainty.KowalM.andKorbiczJ.–Pomiary, Automatyka, Kontrola,2005,No.9,pp.93-95,(inPolish).

Fault detection using neuro-fuzzy networks and bounded error approaches.KowalM.andKorbiczJ. –Proc.11thIEEEInt.Conf.Methods and Models in Automation and Robotics, MMAR 2005,Miêdzyzdroje,Poland, 2005,CD-ROM.

Robust fault detection using neuro-fuzzy networks.KowalM.andKorbiczJ.–Proc.6thIFAC World Congress.Prague, CzechRepublic,2005,CD-ROM.

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CMYK

Dr. Bartosz Kuczewski

Scientific StanDing

Optimum experimental design in spatio-temporal systems:optimalsensorlocationproblem,optimization ofobservationstrategiesformodelselection;

Distributed-parameter systems:optimizationandidentificationofinfinitedimensionalsystems,modelselection techniquesindistributed-parametersystems;

Statistical modelling and optimum experimental design in dynamic systems:parameterestimationtechniques andoptimizationofdiscriminationbetweenmodelsreliabilityforfixed-andmixed-effectstatisticalmodels, applicationtodrugdevelopmentstudies;

Modelling and simulation of complex processes:numericalmethodsforsolvingpartialdifferentialequations, parallelprocessing;

Parallel computing techniques:applicationtooptimumexperimentaldesign.

teacHing

Mathematical Statistics,Numerical Analysis,Operations Research,Introduction to Computer Science.

recent publicationS

Computational Aspects of Discrimination between Models of Dynamic Systems.KuczewskiB. –Lecture Notes in Control and Computer Science,Vol.10,UniversityofZielonaGóraPress,2006,156p.

Parallel processing in discrimination between models of dynamic systems.KuczewskiB.,BaranowskiP. andUciñskiD.–In:WyrzykowskiR.,DongarraJ.,MeyerN.andWaœniewskiJ.(Eds.):Parallel Processing and Applied Mathematics, Lecture Notes in Computer Science,Vol.3911,Springer-Verlag,2006,pp.340-348.

Optimum measurement strategies for model calibration of distributed parameter systems.KuczewskiB. –Pomiary, Automatyka, Kontrola,2005,No.9,pp.77-79(inPolish).

Fault detection in distributed parameter systems using parallel processing.BaranowskiP.andKuczewskiB. –Pomiary, Automatyka, Kontrola,2005,No.9,pp.74-76(inPolish).

Discrimination between models of distributed parameter systems using T-optimum experimental design. KuczewskiB.,PatanM.andUciskiD.–In:WyrzykowskiR.,DongarraJ.,PaprzyckiM.andWaœniewskiJ.(Eds.): Parallel Processing and Applied Mathematics, Lecture Notes in Computer Science,Vol.3019,Springer-Verlag, 2004,pp.762-769.

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I N S T I T U T E O F C O N T R O L & C O M P U T A T I O N E N G I N E E R I N G ��

CMYK

Dr. Paweł Majdzik

Scientific StanDing

Max-plus algebra applications to discrete event dynamic systems:modelsofflexiblemanufacturingsystems, algebraicanalysisofsystemsofsequentialcyclicprocesses;

Modelling and simulation of discrete-event dynamic systems:distributedcontrolofsequentialcyclicprocesses, synthesisalgorithmsofsequentialcyclicprocesses.

teacHing

Object-Oriented Programming,Concurrent and Distributed Programming,Database Systems.

recent publicationS

Prototyping of concurrent cyclic processes.MajdzikP.,ObuchowiczA.–Proc.3rdIFACWorkshopSystem Design, DESDes ’06,Rydzyna,Poland,2006,pp.257-262.

Towards automated prototyping of cyclic concurrent processes.MajdzikP.andBanaszakZ.–Proc.12thIEEEInt. Conf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland,2006,pp.1139-1144, CD-ROM.

Effective prototyping of concurrent processes systems with multiple dispatching rules. MajdzikP.,PolakM.,WójcikR. andBanaszakZ.:–Proc.CS&P 2005Workshop,Ruciane-Nida,Poland,2005,Vol.2,pp.321-332.

A tool for automated performance evaluation of concurrent systems.MajdzikP.,PolakM.andBanaszakZ. –Proc.11thIEEEInt.Conf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland,2005, CD-ROM.

The performance evaluation tool for automated prototyping of concurrent cyclic processes.PolakM.,MajdzikP., MuszyñskiW.andBanaszakZ.–Fundamenta Informaticae,2004,Vol.60,No.1-4,pp.269-289.

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CMYK

Dr. Andrzej Marciniak

Scientific StanDing

Fault diagnosis systems:patternrecognitionapproach,classificationapproach;

Software engineering:N-versionprogrammingandneuralnetworkensembles,combinedclassifiers;

Image processing:analysisofmicroscopicimages,cytomorphometryoffineneedlebiopsymaterialfrombreast cancer,segmentationofbiomedicalimages;

Knowledge modelling:designingdataminingalgorithmsforrulesextraction;

Pattern classification:fuzzyclusteringalgorithms,independentcomponentanalysis;

Computational intelligence:artificialneuralnetworksandfuzzylogic,geneticalgorithms.

teacHing

Artificial Intelligence,Data Warehousing,Pattern Recognition,Programming Web Applications in Java.

recent publicationS

Cytomorphometry of fine needle biopsy material from the breast cancer.MarciniakA.,ObuchowiczA.,MonczakR. andKo³odziñskiM.–In:KurzyñskiM.,Pucha³aE.,WoŸniakM.and¯o³nierekA.(Eds.):Advances in Soft Computing. Computer recognition systems,Proc.4thInt.Conf.Computer Recognition Systems CORES’05,Springer-Verlag, 2005,pp.603-609.

Comparison of minutiae matching techniques.HrebieñM.,MarciniakA.andKorbiczJ.-In:KurzyñskiM.,Pucha³aE., WoŸniakM.and¯o³nierekA.(Eds.):Advances in Soft Computing. Computer recognition systems,Proc.the4thInt. Conf.Computer Recognition Systems CORES’05,Springer-Verlag,2005,pp.775-782.

Pattern recognition approach to fault diagnostics.MarciniakA.andKorbiczJ.–In:KorbiczJ.,KoscielnyJ.M., KowalczukZ.andCholewaW.(Eds.):Fault Diagnosis: Models, Artificial Intelligence, Applications, Springer-Verlag,2004,pp.557-590.

Pattern recognition approach to fault diagnosis in the DAMADICS benchmark flow control valve.MarciniakA., BocanialaC.D.,LouroR.,SadaCostaJ.M.G.andKorbiczJ.–Proc.5thIFACSymp.Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS,Washington,USA,2003,pp.957-962.

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CMYK

Dr. Marcin Mrugalski

Scientific StanDing

System identification:non-linearanddynamic,neuralnetwork-basedmodellingofnon-linearsystems,model structureoptimisationusingthegroupmethodofdatahandling;

Model uncertainty:evaluationofneuralmodeluncertaintyusingbounded-errorapproaches; Robust fault detection:model-basedapproaches,robustfaultdetectionusingadaptivethresholdapproaches; Diagnostics of industrial processes:analyticalandsoftcomputingmethods,applications.

teacHing

Computer Networks(CISCOLocalAcademyInstructor),Intelligent Computation Systems,Algorithms and Data Formats,Computer Architecture Operating and Network Systems.

recent publicationS

Confidence estimation of GMDH neural networks and its application in fault detection systems.KorbiczJ. andMrugalskiM.–Int. J. System Science,2007(accepted).

Application of the MLP neural network to the robust fault detection.MrugalskiM.andKorbiczJ.–Proc.6thIFAC Symp.Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS,Beijing,China,Aug.29 –Sept.1,2006,pp.1465-1470.

A GMDH neural network-based approach to robust fault diagnosis: application to the DAMADICS benchmark problem.WitczakM.,KorbiczJ.,MrugalskiM.andPattonR.J.–Control Engineering Practice,2006,No.14, pp.671-683.

Confidence estimation of GMDH neural networks via least square method.MrugalskiM.andKorbiczJ. –Proc.11thIEEEInt.Conf.Methods and Models in Automation and Robotics – MMAR 2005,Szczecin,Poland, 2005,CD-ROM.

Robust fault detection via GMDH neural networks.MrugalskiM.,KorbiczJ.andPattonR.J.–Proc.16thIFAC Word Congress,Prague,CzechRepublic,2005,CD-ROM.

Faults detection robust against to model uncertainty.MrugalskiM.andKorbiczJ.–Pomiary, Automatyka, Kontrola, 2005,No.9bis,pp.103-105,(inPolish).

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CMYK

Dr. Sławomir Nikiel

Scientific StanDing

Real-time computer graphics:fractalmodellingandvirtualenvironments,compleximagegenerationandmodelling, applicationofformalmethodsofshapegenerationwithfractals,image-basedrenderingtechniques;

Digital cultural heritage:re-creationanddigitalreconstructionofplacesrepresentinghistoricalinterest; reconstructionofancientlandscapescombiningbothgeographicalandculturalheritagedata;image-based reconstructionbasedonthecorrectionoflensdistortion,appropriatelightandshadingmodelsdeliveredinrealtime andrapidprototypingpermittingiterativeprocessofmodellingbasedonuncertaindata;

Software engineering focusing on HCI(Human-Computer Interaction):qualityandmetricsforthedevelopment ofmulti-tiersystems;

Mobile technology, geographical information systems:mobilecommunicationandmultimediacombininglocation ofuserandwireless,limitedresourceprogramming.

teacHing

Computer Graphics and Digital Media,Virtual Reality Systems,Software Engineering,Mobile Technologies.

recent publicationS

Iterative Function Systems for Real-Time Image Synthesis.NikielS.,Springer-Verlag,2007(inprint).

Integration of iterated function systems and vector graphics for aesthetics.NikielS.–Computers and Graphics, 2006,Vol.30,pp.277-283.

Proposition of a location-based edutainment platform.NikielS.andPfeifferJ.M.andSüßS. –KonferenzbandElektronische Bildverarbeitung & Kunst, Kultur, Historie, EVA 2006,Berlin,2006,pp.160-163.

Tiny GIS – project of mobile access to vector location data.NikielS.andMicha³owskiJ.–Proc.Nat.Conf. Radio-communication, Radio and Television, KKRRIT,Poznañ,2006,pp.245-250(inPolish).

Image acquisition and preliminary segmentation on smart phones.NikielS.andMoczulskiM. –Pomiary, Automatyka, Kontrola,2006,Vol.6,pp.69-70(inPolish).

A recursive subdivision scheme for isosurface construction.NikielS.andGoiñskiA.–Computers and Graphics, 2005,Vol.29,No.1,pp.155-164.

ACADEMIC STAFF


CMYK

Dr. Wojciech Paszke

Scientific StanDing

Multidimensional systems:methodsandtechniquesforanalysisandsynthesisofmultidimensionalsystems, robustnessissues,computationalaspects;

Repetitive processes:theoryanditsapplicationtodesignIterativeLearningControl(ILC)schemes;

Time-delay systems:multidimensionalsystemswithstatedelays;networkedsystems,Internettrafficcongestion control;

Convex optimization methods for solving control problems:LinearMatrixInequality(LMI)methods;

Computational modelling and simulation of complex systems.

teacHing

Control Theory,Modern Control Systems,Numerical Analysis,Optimization Methods,Database Systems, Introduction to Computer Science.

recent publicationS

H∞control of differential linear repetitive processes.PaszkeW.,Ga³kowskiK.,RogersE.andOwensD.H. –IEEE Trans. Circuits and Systems – II,,2006,Vol.53,No.1,pp.39-45.

H∞ and guaranteed cost control of discrete linear repetitive processes.PaszkeW.,Ga³kowskiK.,RogersE. andOwensD.H.–Linear Algebra and Its Applications,2006,Vol.412,No.2-3,pp.93-131.

Delay-dependent stability condition for uncertain linear 2-D state-delayed systems.PaszkeW.,LamJ.,Ga³kowskiK., XuS.andKummertA.–Proc.45thIEEEConf.Decision and Control, CDC,SanDiego,USA,2006,CD-ROM.

Stability of differential linear repetitive processes with delays along two directions.PaszkeW.,Ga³kowskiK., RogersE.,LamJ.andXuS.–Proc.17thInt.Sym.Mathematical Theory of Networks and Systems – MTNS,Kyoto,Japan,2006,pp.816-820.

Analysis and synthesis of multidimensional system classes using linear matrix inequality methods.PaszkeW. –Lecture Notes in Control and Computer Science,Vol.8,UniversityofZielonaGóraPress,2005,186p.

Robust H∞ filtering for uncertain 2-D continuous systems.XuS.,LamJ.,LinZ.,ZouY.andPaszkeW. –IEEE Trans. Signal Processing,2005,Vol.53,No.5,pp.629-634.

ACADEMIC STAFF

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CMYK

Dr. Maciej Patan

Scientific StanDing

Optimal experimental design in spatio-temporal systems:sensorlocationproblem,optimizationofobservation strategiesforsensornetworks;

Distributed-parameter systems:optimizationandidentificationofinfinitedimensionalsystems,parameter estimationtechniquesindistributedsystems;

Diagnostics of industrial processes:analyticaltechniques,parameterestimation-basedapproaches,optimization ofdiagnosisreliability;

Numerical methods for solving partial differential equations:finiteandboundaryelementmethods,integration techniques,computermodellingandsimulation;

Parallel computing techniques:distributedandconcurrentprogramming.

teacHing

Mathematical Statistics,Numerical Analysis,Operational Research,Introduction to Computer Science,Advanced Programming Techniques,Modelling of Information Systems.

recent publicationS

D-optimal design of a monitoring network for parameter estimation of distributed systems.UciñskiD.andPatanM. –J. Global Optimization,2007(accepted).

Optimal activation policies for continuous scanning observations in parameter estimation of distributed systems. PatanM.–Int. J. System Science,2006,Vol.37,No.11,pp.763-775.

Optimal observation strategies for model-based fault detection in distributed systems.PatanM.andPatanK. –Int. J. Control,2005,Vol.78,No.18,pp.1497-1510.

Control-oriented observation strategies for parameter estimation in distributed-parameter systems.PatanM. –Proc.12thIEEEInt.Conf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland, 2006,CD-ROM.

Optimal activation strategy of discrete scanning sensors for fault detection in distributed-parameter systems. PatanM.andUciñskiD.–Proc.16thIFAC World Congress,Prague,CzechRepublic,2005,CD-ROM.

Optimal Observation Strategies for Parameter Estimation of Distributed Systems.PatanM. –Lecture Notes in Control and Computer Science,Vol.5,UniversityofZielonaGóraPress,2004,220p.

ACADEMIC STAFF


CMYK

Dr. Krzysztof Patan

Scientific StanDing

Artificial neural networks:modellingandidentificationofnon-lineardynamicprocesses,training algorithmsandstructureoptimization,stabilityandstabilizationofdynamicneuralnetworks;

Global optimization:evolutionarysearchwithsoftselection,geneticalgorithmsandrandomsearch methods;

Stochastic approximation:Robinns-MonroandKiefer-Wolfowitzprocedures,simultaneousperturbation stochasticapproximation;

Diagnostics of industrial processes:schemesbasedonresidualgeneration,softcomputingmethods, applications;

Optimal experimental design:applicationstosystemidentificationandthediagnosticsofprocesses.

teacHing

Artificial Neural Networks, Operating Systems, Operations Research.

recent publicationS

Identification of neural dynamic models for fault detection and isolation: The case of a real sugar evaporation process.PatanK.andParisiniT.–J. of Process Control,2005,Vol.15,No.1,pp.67-79.

Training of the dynamic neural networks via contstrained optimisation.PatanK.–Proc.Int.JointConf. Neural Networks, IJCNN,Budapest,Hungary,2004,CD-ROM.

Heuristic search for optimal architecture of a locally reccurent neural network.ObuchowiczA. andPatanK.–In:K³opotekM.A.,WierzchoñS.T.andTrojanowskiK.(Eds.):Advances in Soft Computing. Intelligent Information Processing and Web Mining,Springer-Verlag,2003,pp.285-292.

Artificial neural networks in fault diagnosis.PatanK.andKorbiczJ.–In:KorbiczJ.,KoœcielnyJ.M., KowalczukZ.,andCholewaW.(Eds.):Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer-Verlag,2004,pp.333-379.

Soft computing methods approaches to fault diagnosis for dynamic systems.CaladoJ.M.F.,KorbiczJ., PatanK.,PattonR.J.andSadaCostaJ.M.G.–European Journal of Control,2001,Vol.7,No.2-3, pp.248-286.

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CMYK

Dr. Bartłomiej Sulikowski

Scientific StanDing

Multidimensional (nD) systems and linear repetitive processes:analysisandsynthesisproblems,computer simulation,controlforperformance

Computer networks:dataflowcontrol,QualityofService

Parallel computing:solvingconvexoptimisationproblemsusingclusters

teacHing

Computer Networks, Security Engineering.

recent publicationS

Decoupling and iterative approaches to the control of discrete linear repetitive processes. SulikowskiB.,Ga³kowskiK.,RogersE,OwensD.H.–Multidimensional Systems and Signal Processing, Vol.18,2007(accepted).

Computational Aspects in Analysis and Synthesis of Repetitive Processes. SulikowskiB. –Lecture Notes in Control and Computer Science,Vol.11.–UniversityofZielonaGóraPress,2006,166p.

PI control of discrete linear repetitive processes,SulikowskiB.,Ga³kowskiK.,RogersE.andOwensD.H. –Automatica,2006,Vol.42,No.6,pp.877-880.

An LMI technique for stability and stabilization of discrete-time second-order control systems. SulikowskiB.,Ga³kowskiK.,DattaB.,BachelierO.,KummertA.–Proc.17thInt.Symp.Mathematical Theory of Networks and Systems MTNS,Kyoto,Japan,2006,pp.810-815,CD-ROM.

Output feedback/feedforward control of discrete linear repetitive processes for performance and disturbance rejection.SulikowskiB.,Ga³kowskiK.,RogersE,OwensD.H.andKummertA.-Proc.American Control Conf. (ACC),Minneapolis,USA,2006,pp.5103-5108.

Control and disturbance rejection for discrete linear repetitive processes. SulikowskiB.,Ga³kowskiK., RogersE.andOwensD.H.–Int. J. Multidimensional Systems and Signal Processing,2005,Vol.16,No.2, pp.199-216.

Proportional plus integral control and disturbance rejection for differential linear repetitive processes. SulikowskiB.,Ga³kowskiK.,RogersE.andOwensD.H.–Proc.American Control Conference, ACC,Portland,USA, 2005,p.1782-1787.

ACADEMIC STAFF


CMYK

Dr. Piotr Steć

Scientific StanDing

Computer graphics:imagegenerationandmodelling,applicationofformalmethodstoshapegeneration,fractals incomputergraphics,imagegenerationtechniques,fractalcolourmodelsandtheirapplicationstovisualization andrendering,fractal-basedimageprocessingtechniques,3Dgraphics;

Image processing:imagefiltering,imageanalysisandsegmentation,imagecompression;

Video processing:applicationsofMPEGstandards,videocompression,segmentationofvideosequences, interactivemultimediaservices,motionanalysis,objectdetectionandtracking.

teacHing

Computer Graphics,Virtual Environments,Multimedia,Object Oriented Programming,Image Processing, 3D Modelling and Design.

recent publicationS

The Hough transform and active contours in segmentation of cytological images.HrebieñM.andSteæP. –Proc.11thInt.Conf.Medical Informatics and Technology, MIT,Wis³a-Malinka,Poland,2006,pp.62-68.

Segmentation of Colour Video Sequences Using the Fast Marching method.SteæP.–Lecture Notes in Control and Computer Science,Vol.7,UniversityofZielonaGóraPress,2005,108p.

Video frame segmentation using competitive contours.SteæP.andDomañskiM.–Proc.13thEuropean Signal Processing Conf.,EUSIPCO,Antalya,Turkey,2005,CD-ROM.

Fast two-step unassisted video segmentation technique evaluated by tolerant ground truth.SteæP. andDomañskiM.–Proc.5thInt.WorkshopImage Analysis for Multimedia Interactive Services,Lisbon,Portugal, 2004,CD-ROM.

Efficient unassisted video segmentation using enhanced fast marching.SteæP.andDomañskiM. –Proc.IEEEInt.Conf.Image Processing, ICIP,Barcelona,Spain,2003,Vol.2,pp.427-430.

Two-step unassisted video segmentation using the fast marching method.SteæP.andDomañskiM.–Proc.10thInt. Conf.Computer Analysis of Images and Patterns, CAIP,Groningen,TheNederlands,2003,pp.246-253.

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CMYK

Dr. Marcin Witczak

Scientific StanDing

System identification:linearandnon-linearsystems;neuralnetworks,geneticprogramming, searchalgorithmsforoptimalmodelstructure;

Fault detection and isolation:model-basedapproaches,robustobservers;

Experimental design:applicationstosystemidentification,modeluncertaintyevaluation;

Bounded-error approaches:stateandparameterestimationofnon-linearsystems,applicationstofault detection.

teacHing

Advanced Programming Environments, Programming Methods and Languages, Data Bases, Numerical Methods, Optimization Methods, Systems Analysis.

recent publicationS

Modelling and Estimation Strategies for Fault Diagnosis of Non-linear Systems. From Analytical to Soft Computing Approaches.–Berlin,Springer-Verlag(inprint)

Toward the training of feed-forward neural networks with the D-optimum input sequence. WitczakM. –IEEE Trans. Neural Networks,2006,Vol.17,No.2,pp.357-373.

A GMDH neural network-based approach to robust fault diagnosis: Application to the DAMADICS benchmark problem.WitczakM.,KorbiczJ.,MrugalskiM.andPattonR.J.–Control Engineering Practice,2006, Vol.14,No.6,pp.671-683.

A neuro-fuzzy multiple-model observer approach to robust fault diagnosis based on the DAMADICS benchmark problem. UppalF.J.,PattonR.JandWitczakM.–Control Engineering Practice,2006,Vol.14,No.6, pp.699-717.

Designing neural-network-based fault detection systems with D-optimum experimental conditions. WitczakM.andPrêtkiP.–Computer Assisted Mechanics and Engineering Sciences,2005,Vol.12,pp.279-291.

Combined computational intelligence and analytical methods in fault diagnosis.PattonR.J.,KorbiczJ. WitczakM.andUppalF.–In:RuanoA.E.(Ed.):Intelligent Control Systems using Computational Intelligence Techniques,TheIEEPress,2005,pp.349-392.

ACADEMIC STAFF


CMYK

INTERNATIONAL JOURNAL PUBLISHING

The International Journal of Applied Mathematics and Computer Science, AMCSstrivestomeetthedemandforthepresentationofinterdisciplinaryresearchconcernedwithapplicationsofmathematicalmethodstocomputerscienceandengineering.Thejournalpublisheshighqualityoriginalresearchresultsinthefollowingareas:

mathematicalmethodsincomputerscienceandengineering,

moderncontroltheoryandapplications,

artificialintelligencetechniques,

appliedmathematicsandmathematicaloptimizationtechniques.

The International Journal of Applied Mathematics and Computer Science is published jointly by the University ofZielonaGóraandtheLubuskieScientificSocietyinZielonaGóra.AMCSispublishedinfourissuesperyear:tworegularandtwospecialissuespreparedbyaninvitededitor(s).

eDitorial office

Editor-in-Chief: Prof.JózefKorbiczScientific Secretary: Prof.DariuszUciñskiProduction Manager: BeataBukowiec,B.Sc.Marketing Manager: AgataWiœniewska-Kubicka,M.Sc.

E-mail: [email protected]

Home page: http://www.amcs.uz.zgora.pl

Editorial team

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CMYK

INTERNATIONAL JOURNAL PUBLISHING

AMCS covers

AMCS website

Special iSSueS printeD in 2005 anD 2006

Intelligent Control and Signal Processing,2005,Vol.15,No.4 Guest Editor:Bart³omiejBeliczyñski,WarsawUniversityofTechnology,Poland.

Soft Computing in Control and Fault Diagnosis,2006,Vol.16,No.1 Guest Editor:JózefKorbicz,UniversityofZielonaGóra,Poland.


CMYK

OUR BOOKS

eric rogerS, krzySztof gałkowSki anD DaviD H. owenS

Control Systems Theory and Applications for Linear Repetitive Processes. Lecture Notes in Control and Information Sciences,Vol.349.–Springer-Verlag,Berlin(tobepublishedin2007).

Repetitiveprocesses,alsotermedmultipassprocessesintheearlyliterature,arecharacterizedbyaseriesofsweeps,termedpasses,throughasetofdynamicswheretheduration,orlength,ofeachpassisfinite.Oneachpassanoutput,orpassprofile,isproducedwhichactsasaforcingfunctionon,andhencecontributesto,thedynamicsofthenextpassprofile.Thebookprovidesacomprehensivepresentationoftherecentresultsinthecontrolofthelinearrepetitiveprocesseswithparticularemphasispaidtopossibleapplications.

anDrzej janczak

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models. A Block-Oriented Approach.Lecture Notes in Control and Information Sciences,Vol.310.–Springer-Verlag,Berlin,2005,197p.

This monographsystematicallypresents theexisting identificationmethodsofnonlinear systemsusing theblock-orientedapproach.ItsurveysvariousknownapproachestotheidentificationofWienerandHammersteinsystems,whichare applicable to both neural network and polynomial models. The book gives a comparative study of their gradientapproximation accuracy, computational complexity and convergence rates, and also presents some new and originalmethodsconcerningmodelparameteradjustingwithgradient-basedtechniques.Identification of Nonlinear Systems Using Neural Networks and Polynomial Modelsisusefulforresearchers,engineersandgraduatestudentsinnonlinearsystemsandneuralnetworktheory.

józef korbicz, jan m. kościelny, zDziSław kowalczuk anD wojciecH cHolewa (eDS.)

Fault Diagnosis. Models, Artificial Intelligence, Applications.–Springer-Verlag,Berlin,2004,920p.

This comprehensive work presents the status and likely development of fault diagnosis, which has become anemergingdisciplineofmoderncontrolengineering. Itcoversthefundamentalsofmodel-basedfaultdiagnosis inawidecontext relevant to industrial engineersandscientistsaswell asacademicspursuing the reliability and fault detectionissuesofsafety-criticalindustrialprocesses.Thewidescopeofthebookprovidesgraduateandpostgraduatestudentsofcontrolandmechanicalengineeringorsystemscienceswithagoodintroductiontothetheoreticalfoundationandmanybasicapproachesoffaultdetection,whileprovidingusefulbibliographicalinformation.Itisavaluablereferencebookandpracticalhelpforindustrialcontrolengineerswhoareinchargeoftheimprovementandsafetyoftechnicalcontrolsystems,condition-basedmaintenanceandrepair,orthedesignoffaulttolerantcontrolsystems.

Sławomir nikiel

Iterative Function Systems for Real-Time Image Synthesis.–Springer-Verlag,Berlin(tobepublishedin2007).

Naturalphenomenacanbevisuallydescribedwithfractal-geometrymethods,whereiterativeproceduresratherthanequationsareused tomodelobjects.With thedevelopmentofbettermodellingalgorithms, theefficiencyof rendering,

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therealismofcomputer-generatedscenesandtheinteractivityofvisualstimuliarereachingastonishinglevels. Iterated Function Systems for Real-Time Image Synthesisgivesanexplanationofiteratedfunctionsystemsandhowtousethemingenerationofcomplexobjects.Contentsinclude:

discussionofthemostpopularfractalmodelsappliedinthefieldofimagesynthesis;

presentationofiteratedfunctionsystemmodels,includingrecentdevelopmentsinIFSrepresentation;

explorationofalgorithmsforcreatingandmanipulatingfractalobjects,andtechniquesforimplementingthe algorithms;

useofpracticalexamplestodemonstratetheimplementationandapplicationofIFSmodels.

The book contains both a description text and pseudo-code samples for the convenience of graphics applicationprogrammers.

DariuSz ucińSki

Optimal Measurement Methods for Distributed Parameter System Identification.Systems and Control Series,Vol.13.–CRCPress,BocaRaton,FL,2005,371p.

Themonographpresentsacomprehensivetreatmentofsensorplacementfordynamicdistributedsystemsmodelledby partial differential equations, including many original solutions primarily regarding scanning and moving sensors. Itdiscusses thecharacteristic featuresof thesensorplacementproblem,analyzesclassicaland recentapproaches,andproposesa wide rangeoforiginal solutions, culminating in themost comprehensiveand timely treatment of the issueavailable.Bypresentingastep-by-stepguidetotheoreticalaspectsandtopracticaldesignmethods, thisbookprovidesasoundunderstandingofsensor locationtechniques.Thetextalsooffersnumerouscasestudies,numericalexamplesand algorithms that translate easily to Matlab and to Maple. Assuming only a basic familiarity with partial differentialequations,vectorspaces,andprobabilityandstatistics,andavoidingtoomanytechnicalities,thisisasuperbresourceforresearchersandpractitionersinthefieldsofappliedmathematics,electrical,civil,geotechnical,mechanical,chemical,andenvironmentalengineering.

marcin witczak

Modelling and Estimation Strategies for Fault Diagnosis of Non-linear Systems. From Analytical to Soft Computing Approaches.Lecture Notes in Control and Information Sciences.–Springer-Verlag,Berlin,228p. (tobepublishedin2007).

This new book presents a variety of modelling and estimation techniques that can be used for designing robustfault diagnosis schemes for non-linear systems. Starting from advanced state estimation strategies through parameterestimationtechniquesuptomodernsoftcomputing,alltechniquesarepresentedinaunifiedframework.Theintroductorypart of the book is of a tutorial value and can be perceived as a good starting point for newcomers to this field. Thesecondpartpresentsadvancedrobustobserverstructures.Parameterestimationbasedtechniquesarediscussedaswell.Particularattentionisdrawntoexperimentaldesignforfaultdiagnosis.Finally,thelastpartpresentsanumberofrobust

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softcomputingapproaches. Inparticular, it isshownhowtouseevolutionaryalgorithmsandneuralnetworkstodesignrobustfaultdiagnosisschemes.Allapproachesdescribedinthisbookareillustratedwithpracticalapplications.

marek kowal

Optimization of Neuro-Fuzzy Structures in Technical Diagnostics Systems.Lecture Notes in Control and Computer Science,Vol.9.–UniversityofZielonaGóraPress,2005,113p.

The monograph deals with the dynamically evolving field of technical diagnostics represented by model-basedmethodsof faultdetection.Thebook focusesonneuro-fuzzymodelsand theiruse for robust faultdetection.Theworkpresents,amongother things, anewapproach for theneuro-fuzzymodeldesign procedure. Theproposedalgorithm isbasedonthebounded-errorapproach,whichisemployedtoexploredataintheinput-outputspaceinordertofindlocalapproximatelylineardependenciesandnextusethisknowledgetogeneratefuzzyrules.Althoughtheproposedmethodcanbesuccessfullyusedtodesignaccurateneuro-fuzzymodels,therewillalwaysexistmodelimperfectionduetoparameterandstructureuncertainty.Inordertoensurereliablefaultdetection,theadaptivethresholdtechniqueforresidualsignalispresentedtoovercometheproblem.Theuncertaintyoftheneuro-fuzzymodel isdeterminedusingthebounded-errorapproachandthenitistransformedintoaconfidenceintervalfortheresidualsignal.TheproposedalgorithmsareappliedtorobustfaultdetectionofanelectricalengineandsomecomponentsofanindustrialsystemfromtheLublinsugarfactoryinPoland.

bartoSz kuczewSki

Computational Aspects of Discrimination between Models of Dynamic Systems.Lecture Notes in Control and Computer Science,Vol.10.–UniversityofZielonaGóraPress,2006,156p.

Thebookconcentrateson theproblemofapplyingT-optimumexperimentaldesign tomodelselection. Itprovidescomputationallyefficientmethodstosolvepracticalmeasurementschedulingproblemsforawideclassofdynamicsystemsdescribed by ordinary differential and partial differential equations. The monograph gives a comprehensive theoreticalfoundationfortheadoptedapproachandproposesseveralnewalgorithmsforvarioustypesofcomputation.Thesolutionspresentedhaveageneralcharacter,independentofaparticularformofthedifferentialequationdescribingthedynamicsystemunderconsiderationanditsspatialdimensionality.Thusthebookisusefulforresearchers,engineersandallthoseinterestedinmodelselectionproblem.

wojciecH paSzke

Analysis and Synthesis of Multidimensional System Classes Using Linear Matrix Inequality Methods.Lecture Notes in Control and Computer Science,Vol.8.–UniversityofZielonaGóraPress,2005,186p.

Thisbookpresentsacomputerimplementableapproachtosolvinganalysisandsynthesisproblemsfordifferentialanddiscretelinearrepetitiveprocessesandgenerallymultidimensionalsystems.Inparticular,itincludessolutionstoverydifficultandpracticallymotivatedcaseswhereuncertainties,disturbancesanddelaysmayappear.Thebookshowshowtoconvertthenon-trivialproblemsintheanalysisandsynthesisofmultidimensionalsystemsintoalinearmatrixinequalityframeworkforsolvingthemefficientlywithrecentlydevelopedsoftwarepackages,e.g.theLMI Control ToolboxorSedumi.

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Additionally,manycomputationalandnumericalexperimentsarepresentedtoillustratetheeffectivenessoftheproposedapproach.Thecombinationofthefundamentalandappliedaspectsmakesthisbookausefulsourceforbothacademicsandspecialistsalreadyfamiliarwithmultidimensionalsystems.

piotr Steć

Unassisted Colour Video Segmentation Using Fast Marching Method.Lecture Notes in Control and Computer Science,Vol.6.–UniversityofZielonaGóraPress,2005,108p.

Automaticvideosegmentationplaysanimportantroleinmanyapplicationssuchasobjectorientedcodingofdigitalvideo,remotesurveillance,interactivemultimediapresentationsandvideoediting.Themainproblemconsideredinthisworkistheabilityofsegmentingsequencesacquiredwithamovingcamerawhoseparametersareunknown.Asthemainanalytical tool, thefastmarchingmethodwasusedasanactivecontourpropagationmethod.Since it isaverygeneralalgorithm, it was necessary to adopt it to the problem that was considered in this thesis. As a result of research, tworelatedalgorithmsofvideosegmentationweredeveloped;however,eachofthemfulfillsdifferentassumptionsandperformsegmentationinadifferentway.Thefirstalgorithmseparatesforegroundobjectsfromabackgroundintwostepsandcanbeappliedtoawideclassofvideosequences.Thefirststepofthealgorithmusesthefastmarchingmethodtoperforminitialsegmentationwhilethesecondstepimprovessegmentationquality.Thesecondalgorithmdevelopedinthisthesisisabletosegmentavideosequenceintomanyseparateobjectsbutislimitedtothesequencescontainingonlyrigidobjectsthatperformonlytranslationalmotion.Inthelattercase,themultilabelversionofthefastmarchingmethodwasused.

bartłomiej SulikowSki

Computational Aspects in Analysis and Synthesis of Repetitive Processes.Lecture Notes in Control and Computer Science,Vol.11.–UniversityofZielonaGóraPress,2006,168p.

Thispublicationpresentsresearchresultsinfieldofaspecialsubclassoftwo-dimensionalsystems,i.e.,linearrepetitiveprocesses.Thebookisdevotedtopresentingtheexistingmethodsofanalysisandsynthesisofrepetitiveprocesses;however,specialemphasisisputhereondevelopingnewapproachesandsimultaneouslyimplementingsuitablenumericaltoolstotestthose.Thispartisparticularlyimportantsincetheknowntheoryregardingproblemsoftheanalysisandsynthesisoftheprocessesconsideredsuffersfromthelackofsuchtools.Thebookproposedmethodsarebasedonlinearmatrixinequalitiesmixedwithparallelcomputingtools.Thepublicationincludessimulationexamplesshowingdevelopedmethods.

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OUTSTANDING FACTS

poStDoctoral (doCtor habilitatuS) DiSSertation

AndrzejJanczakwasborninKo³o,Poland,in1951.HewasdulyadmittedtotheB.Sc.degreeattheTechnicalUniversityofZielonaGóra,Poland,in1972,andreceivedtheM.Sc.degreeinelectronicsfromtheGdañskUniversityofTechnologyin1976.ThedoctoraldegreewasconferreduponhimbytheSilesianTechnicalUniversityinGliwice,in1986.From1976to1986,hewasalecturerattheInstituteofAutomationandMetrologyoftheTechnicalUniversityofZielonaGóra,andfrom1986to1992–anassistantprofessoratthesameInstitute.In1992,hejoinedthenewlyestablishedInstituteofRoboticsandControlEngineeringoftheTechnicalUniversityofZielonaGóra.From1999till2004,hewasanassistantprofessorattheInstituteofControlandComputationEngineeringoftheUniversityofZielonaGóra.SinceMay2006,hehasbeenanassociateprofessoratthesameInstitute.

The present research interests of Prof. Janczak include nonlinear system identification, the identification ofmultidimensional systems and repetitive processes, signal processing, the application of neural networks to nonlinearsystemcontrolandidentification,andsystemfaultdetectionandisolation.Prof.Janczakistheauthoroftwobooks,fourbookchapters,andtheauthororco-authorofover50papersintheabove-mentionedfields.

Andrzej Janczak

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models. Block-oriented approach.LectureNotesinControlandInformationSciences,Vol.310.–Springer-Verlag,Berlin,2005.

Examination:UniversityofZielonaGóra,FacultyofElectricalEngineering,ComputerScienceandTelecommunications,November22,2005.

Monograph cover

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Doctoral DegreeS

Mariusz Mądry: The planning of a postproduction waste distribution network service using constraint logic programming Supervisor:Prof.ZbigniewBanaszak(KoszalinUniversityofTechnology) Defence:PoznañUniversityofTechnology,FacultyofElectricalEngineering,December6,2006.

Bartłomiej Sulikowski: Computational aspects in analysis and synthesis of repetitive processes Supervisor:Prof.KrzysztofGa³kowski Defence:UniversityofZielonaGóra,FacultyofElectricalEngineering,ComputerScienceandTelecommunications, February2,2006.

Bartosz Kuczewski: Computational aspects of discrimination between models of dynamic systems Supervisor:Prof.DariuszUciñski Defence:UniversityofZielonaGóra,FacultyofElectricalEngineering,ComputerScienceandTelecommunications, February2,2006.

Wojciech Paszke: Analysis and synthesis of multidimensional system classes using linear matrix inequality methods Supervisor:Prof.KrzysztofGa³kowski Defence:UniversityofZielonaGóra,FacultyofElectricalEngineering,ComputerScienceandTelecommunications, April20,2005.

awarDS

Prof. Krzysztof Gałkowski:Gerhard Mercator Guest ProfessorshipattheUniversityofWuppertal,Germany, academicyear2006/2007,

Prof. Krzysztof Gałkowski:William Mong Award,2005,

Prof. Dariusz Uciński:Award of the Minister of National Education and Sports of the Republic of Poland,2005, forthemonographOptimal Measurement Methods for Distributed Parameter System Identification,BocaRaton, FL:CRCPress.

poSitionS anD nominationS (SelecteD)

Prof. Józef Korbicz

Vice-chairmanoftheCommitteeonAutomaticControlandRobotics,PolishAcademyofSciences,Warsaw, 2003-2006,

MemberofthePolishTeamforCooperationwiththeInternationalInstituteforAppliedSystemsAnalysis(IIASA) inLaxenburg,Austria,2003-2006,

SeniormemberoftheInstituteofElectricalandElectronicsEngineers,IEEE,since2003,

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MemberoftheTechnicalCommitteeonDetection, Supervision and Safety for Technical Processes, SAFEPROCESS, IFAC,since1997,

ChairmanoftheInternationalProgrammeCommitteeofthe6thIFACSymposiumon SAFEPROCESS,2006, Beijing,China,

ChairmanoftheCommissiononEngineeringCybernetics,PoznañBranchofthePolishAcademyofSciences, 2003-2006,

PresidentoftheLubuskieScientificSociety,ZielonaGóra,since1991.

Prof. Krzysztof Gałkowski

MemberoftheEditorialBoardsofInt.J.Multidimensional Systems and Signal Processing,Int.J.Applied Mathematics and Computer ScienceandInt.J.Control,

MemberoftheIEEEAutomaticControlandCircuitsandSystemsSocieties,

Co-chairmanofthe4thInt.WorkshoponMultidimensional Systems – NDS 2005,Wuppertal,Germany, July10-13,2005

Prof. Dariusz Uciński

SecretaryoftheTechnicalCommitteeonDistributedParameterSystems,IEEEControlSystemsSociety,since2003,

MemberoftheCommissiononEngineeringCybernetics,PoznañBranchofthePolishAcademyofSciences, 2003-2006,

MemberoftheSectionofMeasurementInstrumentsandSystems,CommitteeofMetrologyandScientific Equipment,PolishAcademyofSciences,2003-2006,

MemberoftheIEEERoboticsandAutomationSocietyandtheSocietyforIndustrialandAppliedMathematics.

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HONORARY DOCTORATE

profeSSor rySzarD taDeuSiewicz – Honorary Doctor of tHe univerSity of zielona góra

On June7,2005 the University of Zielona Góra grantedProfessorRyszard Tadeusiewicz of the AGH University ofScienceandTechnology inCracowthe titleofanHonoraryDoctor. It is thesecondsuchanaward in thehistoryof theUniversity.ProfessorJ.Korbiczwastheofficialsupervisorofthedoctorate.

ProfessorRyszardTadeusiewiczisawell-knownandinternationallyrecognizedscientistinthefieldofbiocybernetics,automaticcontrolengineering,andcomputerscience.HeisacorrespondingmemberofthePolishAcademyofSciences(PAS)andafullmemberoftheTechnicalSciencesDepartmentofthePAS,acorrespondingmemberofthePolishAcademyofArtsandSciences(PAAS),aforeignermemberoftheRussianAcademyofNaturalSciences,andaforeignermemberoftheEuropeanAcademyofSciences,ArtsandLiterature(AcademieEuropeennedesSeciences,desArtsetdesLettres).Heisalsoamemberofnumerousnationalandinternationalscientificorganizations,dozensofcommitteesofscientificconferencesallovertheworld,andeditorialboardsofmanyscientificjournals.

Prof.Tadeusiewiczhaswrittenover70scientificmonographsandbooks,amongthemseveralhighlypopulartextbooks,whichhavebeenadoptedbydozensofPolishuniversitiesandhavehadmanyeditions.Heisagreatsciencepromoter,theauthorofdozensofarticlesandpopularbooks,whichincludeabookandaseriesofarticlespopularizingscienceamongprimaryschoolspupils.Hehasalsodeliveredlecturespopularizingknowledge,e.g.aseriesof50lecturesdeliveredattheMusic,PressandBooksAssociation,andhasgivenmanytalksonradioandtelevision.

Official ceremony (Prof. R.Tadeusiewicz - second from the left)

Prof.Tadeusiewicz isanoutstanding teacher, the tutorof47doctoralstudentsas theprimaryadvisorat theAGHUniversity of Science and Technology, the Cracow University of Economics, and Collegium Medicum of the JagiellonianUniversityinCracow.Hehasreviewed158doctoralthesesasanexternalreviewer,andwrittenreviewsof71postdoctoral(doctor habilitatus)dissertations.

ProfessorTadeusiewiczhascloseandlong-standingrelationswiththeInstituteofControlandComputationEngineeringand, more generally, with the Faculty of Electrical Engineering, Computer Science and Telecommunications. He gave astrongsupporttotheFacultyinitsapplicationfortherighttoconferpostdoctoraldegreesandhasservedasarefereeformanyapplicationsofmembersoftheInstitute’sstaffforscientificdegrees.


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RESEARCH PROJECTS

international

Financed by EGIDE (French Leading Agency for International Mobility), France / Ministry of Science and Higher Education of the Republic of Poland

ProgrammePOLONIUM:Control of classes of uncertain repetitive processesJointresearchwiththeUniversityofPoitiers,France,2005-2006

Coordinators:

Prof.DrissMehdi,UniversityofPoitiers,France

Dr.OlivierBachelier,UniversityofPoiters,France

Prof.KrzysztofGa³kowski,UniversityofZielonaGóra,Poland.

Financed by the University of Hong Kong, China

Synthesis Techniques for Multidimensional Dynamic Systems with Delay and Stochastic Effects,2003-2005

Coordinators:

Prof.JamesLam,UniversityofHongKong,China

Prof.ShenguanXu,NanjingUniversityofScienceandTechnology,China

Prof.KrzysztofGa³kowski,UniversityofZielonaGóra,Poland.

Financed by the British Council, UK / Ministry of Science and Higher Education of the Republic of Poland ResearchtraininggrantattheUniversityofSouthamptonfor£ukaszH³adowski,M.Sc.,1month,2005

Coordinator:Prof.EricRogers,UniversityofSouthampton,UK

national

Financed by the Ministry of Science and Higher Education of the Republic of PolandRepetitive processes and multidimensional systems (nD) – theory and applications,2004-2006Supervisor:Prof.KrzysztofGa³kowski

Modelling and identification of non-linear dynamic systems in robust diagnosis systems,2003-2006Supervisor:Prof.JózefKorbicz

Parallel and distributed methods of optimum experimental design,2004-2006Supervisor:Prof.DariuszUciñski

Evolutionary algorithms with alpha-stable mutation in tasks of global parametric optimization,2006-2007(Ph.D.grant)Supervisor:Prof.AndrzejObuchowicz,Ph.D. student:Przemys³awPrêtki

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Financed by the Ministry of Science and Higher Education of the Republic of Poland but granted by the University of Zielona Góra, 2005-2006Intelligent computing systems and its applications in diagnostics and automaticsSupervisor:Prof.JózefKorbicz

Computer systems in engineering and medicineSupervisor:Prof.JózefKorbicz

Effective computational methods in static and dynamic optimizationSupervisor: Prof.DariuszUciñski

Two-tank system in a laboratory

RESEARCH PROJECTS

AIBO robot


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CO-OPERATION

international

Scientific Network on Multidimensional nD Systems and Repetitive Processes

Coordinators:

Prof.KrzysztofGa³kowski,UniversityofZielonaGóra,Poland

Prof.EricRogers,UniversityofSouthampton,UK

Prof.DavidOwens,UniversityofSheffield,UK

Prof.JamesLam,UniversityofHongKong,China

Prof.ShengyuanXu,NanjingUniversityofScienceandTechnology,China

Prof.MichailDymkov,BelarussianAcademyofSciences,Belarus

Dr.KonstantinAvratchenkov,INRIA,SophiaAntipolis,France

Prof.AntonKummert,UniversityofWuppertal,Germany

Dr.OlivierBachelier,UniversityofPoitiers,France.

Results:

Jointresearchresultsreportedinaconsiderableamountofinternationaljournalarticlesandinternationalscientificconferences.

Jointorganizationofscientificevents:

Ga³kowskiK.,RogersE.andKummertA.,4thInt.WorkshoponMultidimensional Systems – NDS 2005, Wuppertal,Germany,July10-13,2005,

Ga³kowskiK.,MinisymposiumonMultidimensional Systems – Circuits, Signals and Control,17thSymp. Mathematical Theory of Networks and Systems,Kyoto,Japan,July24-28,2006,

Ga³kowskiK.,16thIFAC World CongressinPrague,SpecialsessiononMultidimensional Systems in Control and Telecommunications,Prague,CzechRepublic,June4-8,2005.

Jointparticipationinresearchprojects:

JointprojectofbilateralcooperationbetweenFranceandPolandPOLONIUM,withtheUniversityofPoitiers, 2006-2007

JointresearchwiththeUniversityofHongKong,China,andtheNanjingUniversityofScienceandTechnology,China.

Gerhard Mercatorguestprofessorship–personalgrantforProf.KrzysztofGa³kowskifundedbyDFG,2006-2007.

Utah State University, UT, USASubject:Task-orientedmobile-actuatorandsensornetworks

Coordinators:Prof.YangQuanChen,Prof.DariuszUciñski

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Results:

JointparticipationinresearchprojectssupportedbytheNationalScienceFoundation(DDDAS/SEP:Optimal interlaced distributed control and distributed measurement with networked mobile actuators and sensors, 2006-2007,IREE:Real-Time Irrigation Control,2006-2007),

Two-weekresearchvisitofProf.UciñskiattheUSUinDecember2006,

Jointresearchresultsreportedinanumberofinternationalconferencesandjournalpapers.

Queen Mary University of London, UKSubject:Unifyingapproachestodesignofexperiments

Coordinators: Prof.R.Bailey,Prof.S.Gilmour,Dr.B.BogackaandProf.D.Uciñski

Results:

ResearchprojectonUnifying approaches to design of experimentssupportedbytheEngineeringandPhysical SciencesResearchCouncil,UK,2005-2008,

Jointresearchresultsreportedinanumberofinternationalconferencesandjournalarticles,

ScientificworkshoponPopulation Optimum Design of Experiments,London,UK,14-15May2006,

PositionsofpostdoctoralresearchassistantsinstatisticsforDr.M.Patan(6months)andDr.B.Kuczewski(2years) attheMathematicalDepartment,QueenMary,UniversityofLondon.

national

Scientific Network on Fault Diagnosis and Fault-Tolerant Control SystemsCoordinators:

Prof.JózefKorbicz,UniversityofZielonaGóra

Prof.JanM.Koœcielny,WarsawUniversityofTechnology

Prof.Zdzis³awKowalczuk,TechnicalUniversityofGdañsk

Prof.WojciechCholewa,SilesianUniversityofTechnologyinGliwice

Results:

JointorganisationoftheNationalConferencesonDiagnosis of Industrial Processes, DPP,since1996(theso-called ‘PolishSAFEPROCESS’).TheconferencesareorganisedeverysecondyearbytheUniversityofZielonaGóra,the TechnicalUniversityofGdañskandtheWarsawUniversityofTechnology:DPP 2005,Sept.12-14,Rajgród.Startingin 2007,thisconferencewillbecalledDiagnosis of Processes and Systems, DPS 2007,Sept.10-12,S³ubice.

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CO-OPERATION

Prof. J. Korbicz with Profs. D. H. Zhou (right), H. Ye (first from the left) and G. Wang (second from the left) Beijing, China

Prof. K. Ga³kowski and Prof. M.Dymkov (right) Wuppertal, Germany

Prof. D.Ucinski and Prof. Y.G. Chen (right) Los Angeles, USA

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VISITS

viSitS to foreign univerSitieS, 2005-2006

Prof. Krzysztof Gałkowski:

RWTHAachen,Germany

UniversityofWuppertal,Germany

TechnicalUniversityofBerlin,Germany

INRIA,SophiaAntipolis,France

UniversityofHongKong,China

TheMaxPlanckInstitute,Magdeburg,Germany

UniversityofSouthampton,UK

Łukasz Hładowski, M.Sc.:


CzechTechnicalUniversity,Prague,CzechRepublic

Prof. Józef Korbicz:


TsinghuaUniversity,Beijing,China

UniversityofGuilin,China

UniversityofUppsala,Sweden

TechnicalUniversityofBarcelona,Spain

Dr. Bartosz Kuczewski

QueenMaryUniversityofLondon,UK

Dr. Maciej Patan


Dr. Wojciech Paszke

UniversityofPoitiers,France


EindhovenUniversityofTechnology,TheNetherlands

Dr. Bartłomiej Sulikowski,

UniversityofWuppertal,Germany


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Prof. Dariusz Uciński


foreign viSitorS to tHe inStitute, 2005-2006

Prof.IsocDorin,UniversitateaTehnicaCluj-Napoca,Romania

Mr.FrankDräger,KernkraftwerkBrunsbüttelGmbHElektrotechnik,Germany

Prof.EricRogers,UniversityofSouthampton,UK

Prof.YouminZhang,AalborgUniversity,Esbjerg,Denmark

VISITS

Prof. E.Rogers (bottom left) and Prof. K. Ga³kowski’s team

Prof. J. Willems giving a presentation

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ORGANIZATION OF SCIENTIFIC MEETINGS

8tH conference on diagnoStiCS of proCeSSeS and SyStemS, dpS’07, September 10-12, 2007, Słubice, polanD

Programme Committee Chairmen:

Prof.JózefKorbicz,UniversityofZielonaGóra–Chairman

Prof.Zdzis³awKowalczuk,GdañskUniversityofTechnology–Vice-Chairman

Prof.JanM.Koœcielny,GdañskUniversityofTechnology–Vice-Chairman

Organizing Committee Chairmen:

Dr.KrzysztofPatan,UniversityofZielonaGóra–Chairman

Dr.MarcinWitczak,UniversityofZielonaGóra–Vice-Chairman

TheconferenceonDiagnostics of Processes and Systems(DPS’07)isacontinuationoftheseriesofconferencesonDiagnostics of Industrial Processes(DPP)organizedeverytwoyearssince1996bytheWarsawUniversityofTechnology,theUniversityofZielonaGóraandtheGdañskUniversityofTechnology.

Thescopeoftheconferencehasbeenextendedinordertoincludenewtopicssuchasmedicaldiagnosis,computersystems diagnosis, and non-industrial applications. The objective of the conference is to bring together scientists andengineersinthefieldofdiagnosticsmethodsandsystemsaswellasexploitationexperiences,andtoformulatetheoreticalandpracticalproblems requiringsolutions.Theconference isgoing tobea forum for theexchangeofknowledgeandexperiencebetweenprofessionalsfromresearch,industrialandmedicalcentres.

Thesubjectmatteroftheconferenceisreplyingtotheexpectationsanddemandsofresearchandindustrialcentresformodernandsafediagnosticssystems,processmonitoringsystemsandexpertsystems.Ingeneral,conferencetopicscorrespondtothesubjectareaoftheIFACsymposiumonFault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS.

6tH ifac SympoSium on fault deteCtion, SuperviSion and Safety of teChniCal proCeSSeS, SafeproCeSS 2006, auguSt 29-September 1, 2006, beijing, cHina.

Co-organizers:

DepartmentofAutomation,TsinghuaUniversity,China

SchoolofAutomation,BeihangUniversityfortheChineseAssociationofAutomation,China

InstituteofControlandComputationEngineering,UniversityofZielonaGóra,Poland

International Program Committee Chairman:

Prof.JózefKorbicz,UniversityofZielonaGóra,Poland

National Organizing Committee Chairman:

Prof.DonghuaZhou,TsinghuaUniversity,China


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Polish members of the National Organizing Committee:

Dr.MarcinWitczak,UniversityofZielonaGóra

Dr.KrzysztofPatan,UniversityofZielonaGóra

UndertheauspicesoftheIFAC,theSAFEPROCESSSymposiumonFault Detection, Supervision and Safety of Technical Processeshasbeenorganizedeverythreeyearssince1991.ThiseditionoftheSymposiumfocusedontopicsrelatedtofaultdiagnosis,faulttolerantcontrol,artificialintelligence,appliedmathematicandstatistic.Particularemphasiswasplacedontheapplicationofsuchfieldsasmechanical,electronic,chemical,aerospaceandtransportengineering.TheSymposiumgaveanidealopportunityforresearchersandpracticingengineeringtopromote,exchangeanddisseminateinformation.Themostvitalconceptsandresearchdirectionswerepresentedduringthreeplenaryandtwosemi-plenarysessions:

R.J.Patton,C.Kambhampati,A.CasavolaandG.Franze:Fault-tolerance as a key requirement for the control of modern systems,

F.Gustafsson:Statistical signal processing approaches to fault detection,

H.Fang,H.YeandM.Zhong:Fault diagnosis of networked control systems,

J.Jiang:Fault-tolerant control systems: academic and industrial perspectives,

J.M.Koœcielny,M.BartyœandM.Syfert:The Practical Problems of Fault Isolation in Large Scale Industrial Systems.

1St international conference for young reSearCherS in Computer SCienCe, Control, eleCtriCal engineering and teleCommuniCationS, iCyr 2006, September 18-20, 2006, zielona góra

Co-organizers:

FacultyofElectricalEngineering,ComputerScienceandTelecommunications,UniversityofZielonaGóra,Poland

FacultyofMathematics,NaturalandComputerScience,BrandenburgTechnicalUniversityinCottbus,Germany

FacultyofMathematics,NaturalSciencesandComputerScience,UniversityofAppliedSciences(FH) Giessen-Friedberg,Germany

Chairmen:

Prof.K.Ga³kowski,UniversityofZielonaGóra,Poland

Prof.H.T.Vierhaus,BrandenburgUniversityofTechnologyatCottbus,Germany

Prof.A.Obuchowicz,UniversityofZielonaGóra,Poland

Prof.A.Schumann-Luck,UniversityofAppliedSciences(FH)Giessen-Friedberg,Germany

The aim was to provide an international forum for young researchers in computer science, electrical engineering,telecommunications,systems,signalsandcontrol.Theyoungparticipantsprovidedaselectednumberoforaltalksandthemajorityofposters.Theresearchershadanexcellentopportiunitytolearnaboutthemostpopularandinterestingtopicsintheareafromdistinguished,knownworldwidespecialists,whoprovidedplenarytalks:

K.Avrachenkov,France:Mathematical analysis of Google page-rank,


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P.Bauer,USA:New challenges in dynamical systems. The case of networked systems,

W.Koczara,Poland:Digital power,

M.Krstic,Germany:Asynchronous and synchronous design methods for communication systems applications,

A.Kummert,Germany:Signal processing,

R.Rabenstein,Germany:Block-based physical modeling for digital sound synthesis,

M.Scholzel,Germany:Application specific instruction set processors,

D.Uciñski,Poland:Mobile sensor networks. Successes and challenges,

J.Wilems,Belgium:Modeling and representation of open and interconnected dynamical systems.

workSHop on artifiCial intelligenCe methodS in automatiCS and robotiCS, april 22, 2005, zielona góra

Co-organizers:

SectionofApplicationsofFuzzyLogicandNeuralNetworksinAutomatics,CommitteeonAutomaticControl andRobotics,PolishAcademyofSciences,Warsaw

CommissiononEngineeringCybernetics,PoznañBranchofthePolishAcademyofSciences

InstituteofControlandComputationEngineering,UniversityofZielonaGóra

Chairmen:

Prof.JózefKorbiczandProf.JanMaciejKoœcielny

Programme:

Artificial intelligence methods in predictive control algorithms Prof.PiotrTatjewski,WarsawUniversityofTechnology

Evolutionary multicriterion optimisation and its applications in automatics Prof.Zdzis³awKowalczuk,GdañskUniversityofTechnology

Neural networks in process modelling, identification and control Prof.Miros³awŒwiercz,Bia³ystokTechnicalUniversity

Computational problems arising from unreliable information in automatics and robotics Prof.AndrzejPiegat,SzczecinUniversityofTechnology

Applications of knowledge discovering methods in diagnostics of machines and processes Prof.WojciechMoczulski,SilesianUniversityofTechnology

A new learning method for spiking neural networks Prof.AndrzejKasiñski,Mr.FilipPonulak,PoznañUniversityofTechnology

Evolutionary algorithms and artificial neural networks in process diagnostics and control Dr.MarcinWitczak,UniversityofZielonaGóra



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4tH international workSHop on multidimenSional (nd) SyStemS, ndS 2005, july 10-13, 2005, wup-pertal, germany

Co-organizers:

FacultyofElectrical,InformationandMediaEngineering,UniversityofWuppertal,Germany

InstituteofControlandComputationEngineering,UniversityofZielonaGóra,Poland

SchoolofElectronicsandComputerScience,UniversityofSouthampton,UK

Programme Committee Chairmen:

Prof.K.Ga³kowski,UniversityofZielonaGóra,Poland

Prof.A.Kummert,UniversityofWuppertal,Germany

Prof.E.Rogers,UniversityofSouthampton,UK

The4thInternationalWorkshoponMultidimensional (nD) Systems (NDS 2005)tookplaceinWuppertal,Germany.Theworkshopwasdevotedtomultidimensionalsystemstheoryandapplicationsanditwasorganizedtopresentthe‘stateoftheart’andtobringtogetheractiveresearcherswhoworkonnDsystems.Thiseventgaveagoodpossibilitytodiscussnewtrendsandexchangeknowledgeandexperienceinthatspecializedareaofscience.

NDS 2005wasthefourthmeeting.Thefirstonewasheldin1998in£agów,Poland,thesecondin2000attheCzochaCastle,Poland,andthethird–inconjunctionwiththeInternationalSymposiumonMathematical Theory of Networks and Systems–attheUniversityofNotreDamein2002.ForthepastyearsnD-basedsolutionshavebeenwidelyfoundwithingeneralareasofcircuits,control,signalprocessinganditerativelearningcontrol(andmanyothers).Morethan70activeresearchersfromallaroundtheworldparticipatedintheworkshop.MembersoftheInstituteofControlandComputationEngineering(K.Ga³kowski,W.Paszke,B.Sulikowski)activelyco-organizedthatconference.

Thenextconference,5thNDS,willbeheldinAveiro,Portugalin2007.

workSHop on Soft Computing and itS appliCationS, December 9, 2005, zielona góra

Co-organizers:

IEEEComputationalIntelligenceSociety–PolishChapter,

SectionofApplicationsofFuzzyLogicandNeuralNetworksinAutomatics,CommitteeonAutomaticControl andRobotics,PolishAcademyofSciences,Warsaw

CommissiononEngineeringCybernetics,PoznañBranchofthePolishAcademyofSciences

InstituteofControlandComputationEngineering,UniversityofZielonaGóra

Chairmen:

Prof.LeszekRutkowskiandProf.JózefKorbicz


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Our team at SAFEPROCESS 2006, Beijing, China

Programme:

New inference rules based on fuzzy numbers algebra Prof.WitoldKosiñskiandPiotrProkopowicz,Ph.D.student,Polish-JapaneseInstituteofInformationTechnology, Warsaw

Intelligent agents and diffusion scheduling of large distributed computational tasks Prof.RobertSchaefer,AGHUniversityofScienceandTechnology,Cracow

Selected applications of soft computing in medicine Prof.Pawe³Strumi³³o,TechnicalUniversityof£odŸ

Exploitation and exploration properties of evolutionary algorithms with α-stable mutation Prof.AndrzejObuchowicz,UniversityofZielonaGóra


Prof. R.J. Patton (left) NeCST Workshop

Ajaccio, France


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SEMINARS AT THE INSTITUTE

Chairmen: Prof.KrzysztofGa³kowskiandProf.RomanGierelak

Secretaries: MartaPaw³owska,M.Sc.,andKamilPaw³owski,M.Sc.

Summer SemeSter SeminarS, 2005

A cluster of PCs at the Institute of Control and Computation Engineering. Examples and applications Dr.Przemys³awJacewicz,ICCE,UniversityofZielonaGóra

Application of fuzzy controllers in the power industry Prof.AndrzejPieczyñski,ICCE,UniversityofZielonaGóra

A neural network as conscious system architecture JakubPilecki,M.Sc.,ICCE,UniversityofZielonaGóra

Local convergence of evolutionary algorithms with heavy tail mutation Przemys³awPrêtki,M.Sc.,ICCE,UniversityofZielonaGóra

Setpoint control of linear repetitive processes Bart³omiejSulikowski,M.Sc.,ICCE,UniversityofZielonaGóra

Analysis and synthesis of a fuzzy control algorithm for an electrically driven car JacekKorniak,M.Sc.,OpoleUniversityofTechnology

Control of discrete linear repetitive processes with uncertain discretization periods based on a physical example B³a¿ejCichy,M.Sc.,ICCE,UniversityofZielonaGóra

Diagnostics of processes with spatiotemporal dynamics using parallel processing PrzemyslawBaranowski,M.Sc.,ComputerCentre,UniversityofZielonaGóra

Clustering methods in data preprocessing MarcinD¹browa,M.Sc.,ICCE,UniversityofZielonaGóra

Stabilisation of linear repetitive processes with changeable dynamics using LMIs JacekBochniak,Ph.D.student,UniversityofZielonaGóra

The structure and functioning of DNA and genetic engineering techniques applied to computer sciences WojciechJuzwa,M.Sc.,DepartmentofBiochemistryandBiotechnology,PoznañAgriculturalAcademy

Properties of fuzzy switchng in neuro-fuzzy structures Dr.MarekKowal,ICCE,UniversityofZielonaGóra

Quantum computing systems MarekSawerwain,M.Sc.,ICCE,UniversityofZielonaGóra

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winter SemeSter SeminarS, 2005

InTouch and artificial neural networks in fault detection of a two-tank system MartaWiktorzak,M.Sc.,ICCE,UniversityofZielonaGóra

Neural network and polynomial models in identification of block-oriented nonlinear dynamic systems Dr.AndrzejJanczak,ICCE,UniversityofZielonaGóra

Application of artificial intelligence methods for fault detection in analogue electronic circuits JanKoszlaga,M.Sc.,InstituteofElectronics,TechnicalUniversityof£ódŸ

Computational aspects in the analysis and synthesis of repetitive processes Bart³omiejSulikowski,M.Sc.,ICCE,UniversityofZielonaGóra

Application of data classification methods to coal quality analysis AgnieszkaGornig,M.Sc.,DepartmentofElectrificationandAutomation,SilesianUniversityofTechnology

Computational aspects of discrimination between models of dynamic systems BartoszKuczewski,M.Sc.,ICCE,UniversityofZielonaGóra

Human identification based on fingerprints MaciejHrebieñ,M.Sc.,ICCE,UniversityofZielonaGóra

Stabilization of a class of uncertain wave-like discrete linear repetitive processes B³a¿ejCichy,M.Sc.,ICCE,UniversityofZielonaGóra

Directional distributions and their application to evolutionary algorithms Przemys³awPrêtki,M.Sc.,ICCE,UniversityofZielonaGóra

Evolutionary algorithms applied to the graph coloring problem Pawe³Myszkowski,M.Sc.,Wroc³awUniversityofTechnology

Application of the QCS system to the entanglement analysis in the Shor algorithm MarekSawerwain,M.Sc.,ICCE,UniversityofZielonaGóra

Repetitive processes with nonlinearities £ukaszH³adowski,M.Sc.,ICCE,UniversityofZielonaGóra

Segmentation of cytological images by data clustering Dr.AndrzejMarciniak,ICCE,UniversityofZielonaGóra

Simulating quantum correction codes in QCS KamilPaw³owski,M.Sc.,ICCE,UniversityofZielonaGóra

Low power BIST Miros³awPuczko,M.Sc.,Bia³ystokTechnicalUniversity

Transparent memory tests for pattern sensitive faults BartoszSokó³,M.Sc.,Bia³ystokTechnicalUniversity



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Summer SemeSter SeminarS, 2006

Selected problems of quantum programming theory MarekSawerwain,M.Sc.,ICCE,UniversityofZielonaGóra

Face recognition using principal component analysis GracjanG³owacki,Ph.D.student,UniversityofZielonaGóra

Secondary data selection in neural networks with dynamical synapses JakubPilecki,Ph.D.student,UniversityofZielonaGóra

Localization algorithms of mobile robot Sony AIBO ERS-7 Przemys³awSzulczyñski,Ph.D.student,UniversityofZielonaGóra

Business decision system with integrated elements of artificial intelligence Pawe³Aulich,Ph.D.student,UniversityofZielonaGóra

Adaptation of multivariate stable distributions in evolutionary algorithms Przemys³awPrêtki,M.Sc.,ICCE,UniversityofZielonaGóra

Adaptation in dynamic environments using hybrid evolutionary algorithms DariuszWawrzyniak,Ph.D.student,UniversityofZielonaGóra

Scattering theory and dynamical systems Dr.YoichiUetake,FacultyofMathematicsandComputerScience,AdamMickiewiczUniversityinPoznañ

Monitoring and diagnostics of induction motors using neural networks Dr.Czes³awT.Kowalski,Wroc³awUniversityofTechnology

Unknown input observer in diagnostics and monitoring of a two-tank system MartaPaw³owska,M.Sc.,ICCE,UniversityofZielonaGóra

Parameters selection for the TSK model using mountain clustering and Wang-Mendel methods MarcinD¹browa,Ph.D.student,UniversityofZielonaGóra

Segmentation of biomedical images using fuzzy logic techniques Dr.MarekKowal,ICCE,UniversityofZielonaGóra

Surface reconstruction based on adaptive stochastic algorithms AdamGoiñski,Ph.D.student,UniversityofZielonaGóra

Development and testing of intelligent methods of signal processing for stability monitoring of a system with high safety requirements FrankDräger,M.Sc.,KernkraftwerkBrunsbüttelGmbHElektrotechnik,Germany

Synthesis algorithms for discrete concurrent processes Dr.Pawe³Majdzik,ICCE,UniversityofZielonaGóra

Dynamic programming to optimally configure scanning and mobile sensor networks KrzysztofNieradzik,Ph.D.student,UniversityofZielonaGóra


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Dynamic optimization of financial flows using generalised Hopfield neural networks AgnieszkaKwiatkowska-Murzyn,Ph.D.student,UniversityofZielonaGóra

Parallel processing in solving an optimal observation problem for distributed parameter systems TomaszZiêba,Ph.D.student,UniversityofZielonaGóra

Fault-tolerant control systems: past, current, and future YouminZhang,DepartmentofComputerScienceandEngineering,AalborgUniversity,Esbjerg,Denmark

winter SemeSter SeminarS, 2006

Learning of dynamic neural network trajectories via structure optimization AgnieszkaKwiatkowska-Murzyn,Ph.D.student,UniversityofZielonaGóra

Quantum cryptography and quantum noise problem. Quantum cryptography protocols and noise correction codes Przemys³awRatajczak,Ph.D.student,UniversityofZielonaGóra

Complex Internet services based on the Web services standard PiotrGrobelny,Ph.D.student,UniversityofZielonaGóra

Neural network modeling of pupils’ educational achievements DominikKujawa,Ph.D.student,UniversityofZielonaGóra

Algorithms for repetitive processes and their implementation £ukaszH³adowski,M.Sc.,ICCE,UniversityofZielonaGóra

Multimodal image processing in cytology £ukaszMiros³aw,Ph.D.student,Wroc³awUniversityofTechnology

Virtual environment modelling of the Old Town of Zielona Góra based on a humanoid reprezentation TomaszZawadzki,Ph.D.student,UniversityofZielonaGóra

Segmentation of colour cytological images using Type II fuzzy sets £ukaszDziekan,Ph.D.student,UniversityofZielonaGóra

Complex systems diagnosis. Theoretical and practical aspects Prof.DorinIsoc,TechnicalUniversityofCluj-Napoca,Romania

Supervised learning in spiking neural networks FilipPonulak,Ph.D.student,PoznanUniversityofTechnology

Optimal design of wireless sensor networks KarolRydwelski,Ph.D.student,UniversityofZielonaGóra

Terrain shape generation algorithms KorneliuszWarszawski,Ph.D.student,UniversityofZielonaGóra

Implementation of a bank of unknown input observers in diagnosis and monitoring of a two-tank system MartaPaw³owska,M.Sc.,ICCE,UniversityofZielonaGóra



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Parallel implementation of a quantum computation simulator MarekSawerwain,M.Sc.,ICCE,UniversityofZielonaGóra

Control system design for switched repetitive processes JacekBochniak,Ph.D.student,UniversityofZielonaGóra

Flexible neuro-fuzzy inference systems MaciejChmielnik,Ph.D.student,UniversityofZielonaGóra

Design of extended observers with stochastic robustness techniques and evolutionary algorithms Przemys³awPrêtki,M.Sc.,ICCE,UniversityofZielonaGóra


Our weekly seminars (Prof. A. Pieczyñski - Dean of our Faculty - in the middle)

Young researcher

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PUBLICATIONS

bookS

1.JanczakA.:Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach. –LectureNotesinControlandInformationSciences,Vol.310,Springer-Verlag,Berlin,2005,197p.

2.KowalM.:Optimization of Neuro-Fuzzy Structures in Technical Diagnostic Systems.–LectureNotesinControland ComputerScience,Vol.9,UniversityofZielonaGóraPress,2005,113p.

3.KuczewskiB.:Computational Aspects of Discrimination Between Models of Dynamic Systems.–LectureNotes inControlandComputerScience,Vol.10,UniversityofZielonaGóraPress,2006,156p.

4.PaszkeW.:Analysis and Synthesis of Multidimensional System Classes Using Linear Matrix Inequality Methods. –LectureNotesinControlandComputerScience,Vol.8,UniversityofZielonaGóraPress,2005,185p.

5.SteæP.:Segmentation of Colour Video Sequences Using the Fast Marching Method.–LectureNotesinControland ComputerScience,Vol.7,UniversityofZielonaGóraPress,2005,108p.

6.SulikowskiB.:Computational Aspects in Analysis and Synthesis of Repetitive Processes.–LectureNotesinControl andComputerScience,Vol.11,UniversityofZielonaGóraPress,2006,166p.

7.UciñskiD.:Optimal Measurement Methods for Distributed Parameter System Identification.–SystemsandControl Series,CRCPress,BocaRaton,FL,2005,371p.

book cHapterS

1.BzdyraK.andM¹dryM.:SWZT(VSTO-VerificationSystemforTransportOrders).–In:Aiding Systems for Management Engineering,KoszalinUniversityofTechnologyPress,Koszalin,Poland,2005,pp.137-174(inPolish).

2.Ga³kowskiK.andKummertA.:Multidimensionalsystems,signals,circuits,andrepetitiveprocesses:theory, applications,andfuturetrends.–In:SaeedKandPejaœJ.(Eds.):Information Processing and Security Systems, Springer-Verlag,Berlin,2005,pp.283-302.

3.Ga³kowskiK.:Minimalstate-spacerealizationforaclassofnDsystems.–In:KaashoekM.A.,SeatzuS.and vanderMeeC.(Eds.):Recent Advances in Operator Theory and its Applications,OperatorTheory:Advances andApplications,Vol.160,BirkhäuserVerlag,Boston,2005,pp.179-194.

4.HebiszT.andKuriataE.:Thecapacityofciphersfulfillingtheaccessibilityofcryptograms.–In:PejaœJ.andPiegatA. (Eds.):Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems,Springer-Verlag,2005, pp.13-22.

5.HebiszT.andKuriataE.:Accessibilityofinformationinrealtimesystems.–In:SaeedK.andPejaœJ.(Eds.): Information Processing and Security Systems,Springer-Verlag,Berlin,2005,pp.197-206.

6.HrebieñM.,MarciniakA.andKorbiczJ.:Comparisonofminutiaematchingtechniques.–In:Computer Recognition Systems:Proc.4thInt.Conf.onComputer Recognition Systems CORES’ 05.AdvancesinSoftComputing, Springer-Verlag,Berlin,2005,pp.775-782.


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7.JackiewiczM.andKuriataE.:Analysisofnon-linearpseudo-noisesequences.–In:PejaœJ.andPiegatA.(Eds.): Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems,Springer-Verlag,Berlin,2005, pp.92-102.

8.KliñskiM.andKorbiczJ.:Profilingsystemforcomputernetworkstraffic.Anomalydetection.–In:WêgrzynS., ZnamirowskiL.,CzachórskiT.andKozielskiS.(Eds.):New Technologies in Computer Networks,Wydawnictwa Komunikacjii£¹cznoœci,Warsaw,2006,Vol.1,pp.383-390(inPolish).

9.KorbiczJ.,ObuchowiczA.andPrêtkiP.:Someaspectsofmultidimensionalmutationsinevolutionaryalgorithms.–In: GrzegorzewskiP.,KrawczakM.andZadro¿nyS.(Eds.):Issues in Soft Computing Theory and Applications,Akademicka OficynaWydawniczaEXIT,Warsaw,2005,pp.3-45.

10.KorbiczJ.:Intelligentcomputationmethodsinprocessdiagnostics.–In:Polyoptimization and Computer-Aided Design,KoszalinUniversityofTechnologyPress,Poland,2005,pp.63-75(inPolish).

11.KorbiczJ.:Intelligentcomputingindiagnosticsystemsfordynamicsystems.–In:Modern Control and Measurement Techniques: A Multi-Author Work Dedicated to Prof. Stanis³aw Skoczowski,SzczecinTechnicalUniversityPress, Szczecin,Poland,2006,pp.209-224(inPolish).

12.KuriataE.,MaækówW.andSukiennikP.:Hashchainingforauthenticateddatastructuresfreshnesschecking. –In:Image Analysis, Computer Graphics, Security Systems and Artificial Intelligence Applications.Vol.1,University ofFinanceandManagementinBia³ystok,Bia³ystok,Poland,2005,pp.249-259.

13.KuriataE.:Electronicdocumentine-business.–In:NiedŸwiedziñskiM.andLange-SadziñskaK.(Eds.):Selected Problems of Electronic Economy,Universityof£ódŸPress,Poland,2005,pp.183-200(inPolish).

14.KuriataE.:Keysdistributionforasymmetriccryptographicsystems.–In:SaeedK.andPejaœJ.(Eds.):Information Processing and Security Systems,Springer-Verlag,Berlin,2005,pp.148-158.

15.KuriataE.:Problemsofsendingsensitiveinformation.–In:Image Analysis, Computer Graphics, Security Systems and Artificial Intelligence Applications.Vol.1,UniversityofFinanceandManagementinBia³ystok,2005,pp.233-247.

16.MarciniakA.,ObuchowiczA.,MonczakR.andKo³odziñskiM.:Cytomorphometryoffineneedlebiopsymaterialfrom thebreastcancer.–In:Computer Recognition Systems:Proc.4thInt.Conf.Computer Recognition Systems CORES ’05,Springer-Verlag,Berlin,2005,AdvancesinSoftComputing,pp.603-609.

17.M¹dryM.,SaniukS.andBanaszakZ.:Applicationofconstraintlogicprogrammingmethodsforflowdesignin distributionnetworks.–In:KnosalaE.(Ed.):Computer-Integrated Management.Vol.2,Wydawnictwa Naukowo-Techniczne,Warsaw,2005,pp.121-130(inPolish).

18.PattonR.J.,KorbiczJ.,WitczakM.andUppalF.J.:Combinedcomputationalintelligenceandanalyticalmethodsinfault diagnosis.–In:RuanoA.E.(Ed.):Intelligent Control Systems using Computational Intelligence Techniques: TheInstitutionofElectricalEngineers,IEEControlEngineeringSeries,Vol.70,London,2005,pp.349-392.

19.Paw³owskiK.andGielerakR.:Securityofkeytransmission–In:PochopieñB.,KwiecieñA.,GrzywakA.andKlamkaJ. (Eds.):New Technologies in Computer Networks.Vol.2,WydawnictwaKomunikacjii£¹cznoœci,Warsaw,2006, pp.375-384(inPolish).

PUBLICATIONS

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20.SaniukS.,M¹dryM.andTomczukI.:Supplychainmanagementinoutsourcingsystems.–In:KnosalaE.(Ed.): Computer-Integrated Management.Vol.2,WydawnictwaNaukowo-Techniczne,2005,pp.347-356(inPolish).

21.SawerwainM.,GielerakR.andPileckiJ.:Operationalsemanticsinquantuminformatics.–In:WêgrzynS., ZnamirowskiL.,CzachórskiT.andKozielskiS.(Eds.):New Technologies in Computer Networks.Vol.1,Wydawnictwa Komunikacjii£¹cznoœci,Warsaw,2006,pp.69-77(inPolish).

22.WójcikR.,MajdzikP.andBanaszakZ.:Automaticsynthesisofperformancemodelsforconcurrentcyclicprocesses. –In:ZamojskiW.(Ed.):Computer Engineering,WydawnictwaKomunikacjii£¹cznoœci,Warsaw,2005, pp.212-226(inPolish).

journal paperS

1.BaranowskiP.andKuczewskiB.:Faultdetectionindistributedparametersystemsusingparallelprocessing. –Pomiary, Automatyka, Kontrola,2005,No.9,pp.74-76(inPolish).

2.BochniakJ.andGa³kowskiK.:LMI-basedanalysisforcontinuous-discretelinearshift-invariantnDsystems. –J. of Circuits, Systems, and Computers,2005,Vol.14,No.2,pp.307-332.

3.BochniakJ.,Ga³kowskiK.,RogersE.,MehdiD.,BachelierO.andKummertA.:Stabilizationofdiscretelinearrepetitive processeswithswitcheddynamics.–Multidimensional Systems and Signal Processing,2006,Vol.17,No.2-3, pp.271-293.

4.CaladoJ.M.F.,BartyœM.andKorbiczJ.:FDIapproachtotheDAMADICSbenchmarkproblembasedonqualitative reasoningcoupledwithfuzzyneuralnetworks.–Control Engineering Practice,2006,Vol.14,No.6,pp.685-698.

5.DropK.,Koz³owskiM.,PatanK.andZalewskaJ.:Definingthespatiallayoutofthedepositparametersoftheredfloor intheregionCichaGóra-Paproæusingthenuclearmagneticresonancemethod.–Nafta – Gaz,2006,No.7-8, pp.335-344(inPolish).

6.Ga³kowskiK.,KummertA.,CichyB.andRogersE.:Stabilityandstabilisationofacausaldiscretelinearrepetitive processes.–PAMM Proc. in Applied Mathematics and Mechanics,2005,Vol.5,No.1,pp.155-156.

7.GielerakR.andSawerwainM.:QCL–aquantumprogramminglanguage.–Software Developer’s J.,2005,No.8, pp.34-40.

8.GielerakR.andSawerwainM.:Quantumcomputingsimulation.–Software Developer’s J.,2006,No.10, pp.64-71(inPolish).

9.G³owackiG.andPatanK.:Faultdetectioninanelectricaldrivebymeansofartificialneuralnetworks.–Diagnostyka, 2006,No.2(38),pp.7-10.

10.H³adowski£.,Ga³kowskiK.,OwensD.H.andRogersE.:Relaxedpassprofilecontrollabilityofdiscretelinearrepetitive processes.–Int. J. Control,2006,Vol.79,No.8,pp.938-958.

11.HrebieñM.andKorbiczJ.:Humanidentificationbasedonfingerprintlocalfeatures.–Lecture Notes in Artificial Intelligence: Artificial Intelligence and Soft Computing,Vol.4029,Springer-Verlag,2006,pp.796-803.

PUBLICATIONS


CMYK

12.KorbiczJ.:Robustfaultdetectionusinganalyticalandsoftcomputingmethods.–Bulletin of the Polish Academy of Sciences: Technical Sciences,2006,Vol.54,No.1,pp.75-88.

13.KowalM.andJózefKorbiczJ.:Robustfaultdetectionunderfuzzy-neuralmodeluncertainty.–Pomiary, Automatyka, Kontrola,2005,No.9,pp.93-95(inPolish).

14.KowalM.andKorbiczJ.:Robustfaultdetectionusingneuro-fuzzymodels.–Przegl¹d Elektrotechniczny,2006,No.1, pp.32-36.

15.KuczewskiB.:Optimummeasurementstrategiesformodelcalibrationofdistributedparametersystem.–Pomiary, Automatyka, Kontrola,2005,No.9,pp.77-79(inPolish).

16.KuczewskiB.,BaranowskiP.andUciñskiD.:Parallelprocessingindiscriminationbetweenmodelsofdynamic systems.Lecture Notes in Computer Science,Vol.3911,Springer-Verlag,2006,pp.340-348.

17.KuriataE.:Distributionofkeysforasymetriccryptographicsystems.–E-Security Magazine,2005,No.4, pp.24-32(inPolish).

18.KuriataE.:Cryphtographickeysgenerationatclients.–Informatyka Teoretyczna i Stosowana,2005,Vol.5,No.8, pp.161-176(inPolish).

19.KuriataE.:Informationexchangeintheformofsecureelectronicdocuments.–E-Security Magazine,2005,No.3, pp.23-32(inPolish).

20.KuriataE.:Informationexchangeintheformofsecureelectronicdocuments(PartII).–E-Security Magazine,2005, No.4,pp.22-23(inPolish).

21.KuriataE.andHebiszT.:Accessibilityofinformationinreal-timesystems.–Pomiary, Automatyka, Kontrola,2005, No.4,pp.6-10(inPolish).

22.KuriataE.andJackiewiczM.:ApplicationofLatinsquaresincryptography.–Informatyka Teoretyczna i Stosowana, 2005,Vol.5,No.8,pp.147-160(inPolish).

23.KuriataE.andMyszkowskiP.B.:Theelectronicdocument.–Computing, Multimedia and Intelligent Techniques: special issue: Live biometrics and security,2005,Vol.1,No.1,pp.163-171.

24.M¹dryM.,BzdyraK.andJakubowskiJ.:Integratedflowdesigninwastedistributionnetworks.–In¿ynieria Maszyn: Efektywnoœæ obrabiarek i procesów produkcyjnych,2006,Vol.11,No.1,pp.73-86(inPolish).

25.M¹dryM.,SaniukS.andBanaszakZ.:Flowdesigninpost-productivewastedistributionnetworksusingconstraint logicprogrammingmethods.–In¿ynieria Maszyn: systemy i proces wytwarzania,2005,Vol.10,No.3,pp.67-82 (inPolish).

26.MrugalskiM.andKorbiczJ.:RobustfaultdetectionundertheGMDHmodeluncertainty.–Pomiary, Automatyka, Kontrola,2005,No.9,pp.103-105(inPolish).

27.NieczkowskiT.andObuchowiczA.:Applicationofcellularautomatonforenhancingsegmentationresultsofbreast cancerfineneedlebiopsymicroscopeimages.–Proc. Artificial Intelligence Studies,2006,Vol.3,pp.71-78.

PUBLICATIONS

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28.NikielS.andGoiñskiA.:Arecursivesubdivisionschemeforisosurfaceconstruction.–Computers and Graphics, 2005,Vol.29,No.1,pp.155-164.

29.NikielS.andMoczulskiM.:Imageaquisitionandpre-segmentationforGSMterminals.–Pomiary, Automatyka, Kontrola,2006,No.6,pp.69-70(inPolish).

30.NikielS.:Integrationofiteratedfunctionsystemsandvectorgraphicsforaesthetics.–Computers and Graphics, 2006,Vol.30,pp.277-283.

31.ObuchowiczA.andWawrzyniakD.:Evolutionaryadaptationinnon-stationaryenvironments:Acasestudy.–Lecture Notes in Computer Science,Vol.3911,Springer-Verlag,2006,pp.439-446.

32.ObuchowiczA.:Stabilityoftheevolutionarysearchwiththelocalselectionandalpha-stablemutation.–Int. J. Information Technology and Intelligent Computing,2006,Vol.1,No.1,pp.35-44.

33.PaszkeW.,Ga³kowskiK.,RogersE.andOwensD.H.:H∞andguaranteedcostcontrolofdiscretelinearrepetitive processes.–Linear Algebra and its Applications,2006,Vol.412,No.2-3,pp.93-131.

34.PaszkeW.,Ga³kowskiK.,RogersE.andOwensD.H.:H∞controlofdifferentiallinearrepetitiveprocess.–IEEE Trans. Circuits and Systems – II: Express Briefs,2006,Vol.53,No.1,pp.39-44.

35.PatanK.:Designingofrobustcontrolsystemsbasedonmodeluncertaintyapproach.–Pomiary, Automatyka, Kontrola,2005,No.9,pp.106-108(inPolish).

36.PatanK.,KorbiczJ.andPrêtkiP.:Globalstabilityconditionsoflocallyrecurrentneuralnetworks.–Lecture Notes in Computer Science,Vol.3697,Springer-Verlag,2005,pp.191-196.

37.PatanK.andParisiniT.:Identificationofneuraldynamicmodelsforfaultdetectionandisolation:Thecaseofareal sugarevaporationprocess.–J. Process Control,2005,Vol.15,pp.67-79.

38.PatanM.andPatanK.:Optimalobservationstrategiesformodel-basedfaultdetectionindistributedsystems.–Int. J. Control,2005,Vol.78,No.18,pp.1497-1510.

39.PatanM.,UciñskiD.andBaranowskiP.:Optimalobservationstrategiesforfaultdetectionindistributed-parameter systems.–Pomiary, Automatyka, Kontrola,2005,No.9,pp.71-73(inPolish).

40.PatanM.:Optimalactivationpoliciesforcontinousscanningobservationsinparameterestimationofdistributed systems.–Int. J. System Science,2006,Vol.37,No.11,pp.763-775.

41.Paw³owskaM.andWitczakM.:Unknown-inputobserversintwo-tanksystemdiagnosistics.–Diagnostyka,2006, No.3(39),pp.109-116(inPolish).

42.PieczyñskiA.andAulichP.:Applicationoffeaturesdiagramstoindustrialprocessdiagnosis.–Pomiary, Automatyka, Kontrola,2005,No.9,pp.80-82(inPolish).

43.PieczyñskiA.,PaczynskiA.andZaj¹cM.:Cost-effectivefaultdetectionusingwebcameras.–Pomiary, Automatyka, Kontrola,2005,No.9,pp.317-318(inPolish).

44.PrêtkiP.andObuchowiczA.:Directionaldistributionsandtheirapplicationtoevolutionaryalgorithms.–Lecture Notes in Artificial Intelligence,Vol.4029,Springer-Verlag,2006,pp.440-449.

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45.PrêtkiP.andWitczakM.:Developingmeasurementselectionstrategyforneuralnetworkmodels.–Lecture Notes in Computer Science,Vol.3697,Springer-Verag,2005,pp.79-84.

46.RobakS.andPieczyñskiA.:Adjustingsoftware-intensivesystemsdevelopedbyusingsoftwarefactoriesandfuzzy features.–Lecture Notes in Artificial Intelligence,Vol.4029,Springer-Verlag,2006,pp.297-305.

47.SulikowskiB.,Ga³kowskiK.,RogersE.andOwensD.H.:Controlanddisturbancerejectionfordiscretelinearrepetitive processes.–Multidimensional Systems and Signal Processing,2005,Vol.16,No.2,pp.199-216.

48.SulikowskiB.,Ga³kowskiK.,RogersE.andOwensD.H.:PIcontrolofdiscretelinearrepetitiveprocesses.–Automatica, 2006,Vol.42,No.6,pp.877-880.

49.UciñskiD.andBogackaB.:T-optimumdesignsfordiscriminationbetweentwomultiresponsedynamicmodels.–J. the Royal Statistical Society: Series B (Statistical Methodology),2005,Vol.67,No.1,pp.3-18.

50.UppalF.J.,PattonR.J.andWitczakM.:Aneuro-fuzzymultiple-modelobserverapproachtorobustfaultdiagnosisbased ontheDAMADICSbenchmarkproblem.–Control Engineering Practice,2006,No.14,pp.699-717.

51.WawrzyniakD.andObuchowiczA.:Newapproachtooptimizationwithevolutionaryalgorithmsinnon-stationary environments.–Proc. of Artificial Intelligence Studies,2006,Vol.3,pp.187-196.

52.WitczakM.andPrêtkiP.:Designingneural-network-basedfaultdetectionsystemswithD-optimumexperimental conditions.–Computer Assisted Mechanics and Engineering Sciences,2005,No.12,pp.279-291.

53.WitczakM.,KorbiczJ.,MrugalskiM.andPattonR.J.:AGMDHneuralnetwork-basedapproachtorobustfault diagnosis:ApplicationtotheDAMADICSbenchmarkproblem.–Control Engineering Practice,2006,No.14, pp.671-683.

54.WitczakM.:Advancesinmodel-basedfaultdiagnosiswithevolutionaryalgorithmsandneuralnetworks. –Int. J. Applied Mathematics and Computer Science,2006,Vol.16,No.1,pp.85-99.

55.WitczakM.:Designofrobustobserversfordiscrete-timenonlinearsystems.–Pomiary, Automatyka, Kontrola,2005, No.9,pp.60-62(inPolish).

56.WitczakM.:Towardthetrainingoffeed-forwardneuralnetworkswiththeD-optimuminputsequence.–IEEE Trans. Neural Networks,2006,Vol.17,No.2,pp.357-373.

57.XuS.,LamJ.,Ga³kowskiK.andLinZ.:AnLMIapproachtothecomputationoflowerboundsforstabilitymarginsof2D discretesystems.–Dynamics of Continous, Discrete and Impulsive Systems, Series B: Applications and Algorithms, 2006,Vol.13,pp.221-236.

58.XuS.,LamJ.,ZouY.,LinZ.andPaszkeW.:RobustH∞filteringforuncertain2-Dcontinuoussystems.–IEEE Trans. Signal Processing,2005,Vol.53,No.5,pp.1731-1738.

59.XuS.,LamJ.,ZouY.,LinZ.andPaszkeW.:Robustpositiverealsynthesisfor2Dcontinoussystemsviastateand outputfeedback.–Circuits Systems and Signal Processing,2005,Vol.24,No.2,pp.183-199.

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conferenceS

1.BaranowskiP.,ZiêbaT.andUciñskiD.:Aparallelsensorselectiontechniqueforoptimalobservationofdistributed parametersystems.–Proc.12thIEEEConf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje, Poland,2006,pp.157-164,CD-ROM.

2.BochniakJ.,Ga³kowskiK.andRogersE.:Switcheddifferentiallinearrepetitiveprocesses.–Proc.Int.Conf.Power Electronics and Intelligent Control for Energy Conservation,PELINCEC 2005,Warsaw,Poland,2005,CD-ROM.

3.BochniakJ.,Ga³kowskiK.,RogersE.andKummertA.:Numericallyefficientstabilizationofswitchedrepetitive processes.–Proc.5thConf.Computer Methods and Systems, CMS ‘05,Cracow,Poland,2005,Vol.1,pp.217-222.

4.BoschenF.,KummertA.,HerzogH.andGa³kowskiK.:Ontheconvergenceofalgebraicreconstructionmethodsfor computertomography.–Proc.4thInt.WorkshopMultidimensional Systems, NDS 2005,Wuppertal,Germany,2005, pp.172-177,CD-ROM.

5.BzdyraK.,BachI.andM¹dryM.:Asearchstrategyforameetingconstraintsproblem.–Proc.10thNat.Conf. Automation 2006, Automation – Novelties and Perspectives,Warsaw,Poland,2006,pp.289-297(inPolish).

6.CichyB.,Ga³kowskiK.,KummertA.andRogersE.:Controlofdiscretelinearrepetitiveprocesseswithvariable parameteruncertainty.–Proc.2ndInt.Conf.Informatics in Control, Automation and Robotics, ICINCO 2005, Barcelona,Spain,2005,Vol.1,pp.37-42,CD-ROM.

7.CichyB.,Ga³kowskiK.,RogersE.,KummertA.andOwensD.H.:Controlofdiscretelinearrepetitiveprocesseswith uncertainsamplingperiodandapplicationtoaphysicalexample.–Proc.3thInt.WorkshopMultidimensional Systems, NDS 2005,Wuppertal,Germany,2005,pp.148-153,CD-ROM.

8.CichyB.,Ga³kowskiK.,RogersE.andOwensD.H.:Controlofaclassof“wave”discretelinearrepetitiveprocesses. –Proc.2005IEEEInt.Symp.Intelligent Controland2005MediterraneanConf.Control and Automation,Limassol, Cyprus,2005,CD-ROM.

9.D¹browaM.andKorbiczJ.:AnalysisofindustrialdatausingSASInstituteenvironment.–Proc.1stPolishandInt.PD Forum-Conf.Computer Science, FCCS 2005,£ódŸ-Bronis³awów,Poland,2005,CD-ROM(inPolish).

10.DropK.,Koz³owskiM.andPatanK.:SeismicinversionintheCichaGóra-Paproæareausingneuralnetworks. –Proc.Int.Scientific-TechnologicalConf.,GEOPETROL 2006,Zakopane,Poland,2006,pp.163-171,CD-ROM (inPolish).

11.DymkovM.,RogersE.,Ga³kowskiK.,DymkovS.andOwensD.H.:Anapproachtocontrollabilityandoptimization problemsforrepetitiveprocesses.–Proc.Int.Conf.Ustoicivost i Processy Upravlenija: Mezdunarodnaja Konferencija, Posvjascennaja 75-letiju so Dnja Rozdenija V.I. Zubova,Sankt-Petersburg,Russia,2005,Vol.3,pp.1504-1515.

12.Ga³kowskiK.:Repetitiveprocesses,IterativeLearningControl(ILC)orFiltering(ILF)–atwo-dimensionalframework. –Proc.WorkshopSignal Processing 2006,Poznañ,Poland,2006,pp.23-27.

13.Ga³kowskiK.,CichyB.,RogersE.andJankG.:Controllabilityandquadraticstabilizationofaclassofdiscretelinear repetitiveprocesses.–Proc.16th IFAC World Congress,Prague,CzechRepublic,2005,CD-ROM.

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14.Ga³kowskiK.,H³adowski£.,RogersE.,MehdiD.,BachelierO.andCichyB.:Statefeedbackstabilizationofaclassof discretesemi-linearrepetitiveprocesses.–Proc.17th Int. Symp. Mathematical Theory of Networks and Systems, MTNS 2006,Kyoto,Japan,2006,pp.821-826,CD-ROM.

15.Ga³kowskiK.andKummertA.:FractionalpolynomialsandnDsystems.–Proc.IEEE Int. Symp. Circuits and Systems, ISCAS,Kobe,Japan,2005,CD-ROM.

16.G³owackiG.,PatanK.andKorbiczJ.:Humanfacerecognitionusingprincipalcomponentsanalysis.–Proc.5thConf. Computer Methods and Systems, CMS ‘05,Cracow,Poland,2005,Vol.2,pp.393-398(inPolish).

17.GramackiJ.,GramackiA.,Ga³kowskiK.andRogersE.:Javabasedtoolboxforlinearrepetitiveprocesses.–Proc.2nd Int.Conf.Informatics in Control, Automation and Robotics, ICINCO 2005,Barcelona,Spain,2005,Vol.1,pp.182-187, CD-ROM.

18.GuerraP.,PuigV.,IngimundarsonA.andWitczakM.:Robustfaultdetectionwithunknowninputset-membershipstate estimatorsandintervalmodelsusing.–Proc.6th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006,Beijing,China,2006,pp.1303-1308,CD-ROM.

19.H³adowski£.,CichyB.,Ga³kowskiK.,SulikowskiB.andRogersE.:SCILABcompatiblesoftwareforanalysisandcontrol ofrepetitiveprocesses.–Proc.2006IEEEConf.Computer-Aided Control Systems Design, CACSD,Munich,Germany, 2006,pp.3024-3029,CD-ROM.

20.H³adowski£.,Ga³kowskiK.andRogersE.:Aniterativelearningcontrolschemeforlineartime-varyingdiscrete systems.–Proc.12thIEEEConf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland, 2006,pp.171-175,CD-ROM.

21.H³adowski£.,Ga³kowskiK.,RogersE.,KummertA.andOwensD.H.:Theinfluenceoffeedback/feedforwardcontrolon relaxedpassprofilecontrollabilityofdiscretelinearrepetitive.–Proc.4thInt.WorkshopMultidimensional Systems, NDS 2005,Wuppertal,Germany,2005,pp.160-165,CD-ROM.

22.H³adowski£.,Ga³kowskiK.,RogersE.,KummertA.andOwensD.H:.Furtherresultsonrelaxedpassprofile controllabilityofdiscretelinearrepetitiveprocesses.–Proc.12thIEEEConf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland,2005,CD-ROM.

23.HrebieñM.andKorbiczJ.:Fingerprintidentificationbasedonminutiaepoints.–Proc.5thConf.Computer Methods and Systems, CMS ‘05,Cracow,Poland,2005,Vol.1,pp.107-113.

24.HrebieñM.,NieczkowskiT.,KorbiczJ.andObuchowiczA.:TheHoughtransformandtheGrowCutmethod insegmentationofcytologicalimages.–Proc.Int.Conf.Signals and Electronic Systems, ICSES ‘06,£ódŸ,Poland, 2006,Vol.1,pp.367.

25.HrebieñM.andSteœP.:TheHoughtransformandactivecontoursinsegmentationofcytologicalimages. –Proc.11thInt.Conf.Medical Informatics & Technology, MIT 2006,Wis³a-Malinka,Poland,2006,pp.62-68, CD-ROM.

26.JacewiczP.andRybickiA.:Dataprotection–Acasestudy.–Proc.8thWorkshopData Communication Crime, Szczytno,Poland,2005,pp.59-66(inPolish).

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27.JanczakA.andKorbiczJ.:IdentificationofpolynomialMIMOWienersystemsusinginstrumentalvariables. –Proc.12thIEEEConf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland,2006, pp.929-934,CD-ROM.

28.KliñskiM.andKorbiczJ.:Statisticalmethodsinintruderdetectionsystems.–Proc.5thConf.Computer Methods and Systems, CMS ‘05,Cracow,Poland,2005,Vol.2,pp.337-342(inPolish).

29.KorbiczJ.:Uncertaintyofartificialintelligencemodelsinprocessdiagnosticsystems.–Proc.15th Polish Control Conf., KKA 2005,Warsaw,Poland,2005,Vol.3,pp.3-10(inPolish).

30.KorbiczJ.andWitczakM.:Uncertainsoftcomputingmodelsinrobustfaultdetection.–Proc.1stNeCSTWorkshop Networked Control Systems and Fault Tolerant Control,Ajaccio,France,2005,pp.199-204.

31.KowalM.andKorbiczJ.:Faultdetectionusingneuro-fuzzynetworksandboundederrorapproaches.–Proc.12thIEEE Conf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland,2005,CD-ROM.

32.KowalM.andKorbiczJ.:Robustfaultdetectionusingneuro-fuzzynetworks.–Proc.16th IFAC World Congress.Prague, CzechRepublic,2005,CD-ROM.

33.KowalM.andKorbiczJ.:Faultdetectionunderfuzzymodeluncertainty.–Proc.6thIFACSymp.Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006,Beijing,China,2006,pp.775-780,CD-ROM.

34.KrólikowskiT.andRydwelskiK.:JavaandPHPtechnologiesine-learning.–Proc.2ndNat.Conf.New Technologies in Remote Learning,Koszalin-Osieki,Poland,2006,pp.291-295(inPolish).

35.MajdzikP.andBanaszakZ.:Towardsautomatedprototypingofcyclicconcurrent.–Proc.12thIEEEConf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland,2006,pp.1139-1144,CD-ROM.

36.MajdzikP.andObuchowiczA.:Prototypingofconcurrentcyclicprocesses.–Proc.3rdIFACWorkshopDiscrete-Event System Design, DESDes,Rydzyna,Poland,2006,pp.257-262.

37.MajdzikP.,PolakM.andBanaszakZ.:Atoolforautomatedperformanceevaluationofconcurrentsystems. –Proc.11thIEEEConf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland,2005, CD-ROM.

38.MajdzikP.,PolakM.,WójcikR.andBanaszakZ.:Effectiveprototypingofconcurrentprocessessystemswithmultiple dispatchingrules.–Proc.CS&P 2005Workshop,Ruciane-Nida,Poland,2005,Vol.2,pp.321-332.

39.MrugalskiM.andKorbiczJ.:ConfidenceestimationofGMDHneuralnetworksvialeastsquaremethod.–Proc.12th IEEEConf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland,2005,CD-ROM.

40.MrugalskiM.andKorbiczJ.:ApplicationoftheMLPneuralnetworktotherobustfaultdetection.–Proc.6thIFAC Symp.Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006,Beijing,China,2006, pp.1465-1470,CD-ROM.

41.MrugalskiM.,KorbiczJ.andPattonR.J.:RobustfaultdetectionviaGMDHneuralnetworks.–Proc.16thIFAC World Congress,Prague,CzechRepublic,2005,CD-ROM.

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42.NieczkowskiT.,ObuchowiczA.:Applicationofdecisiontreeinfiltrationandsegmentationofbreastcancercytological images.–Proc.14thNat.Conf.Biocybernetics and Biomedical Engineering,Czêstochowa,Poland,2005,Vol.1, pp.324-329(inPolish).

43.NieradzikK.andUciñskiD.:Adynamicprogrammingapproachtosensornetworkdesignforparameterestimation ofdistributedsystems.–Proc.12thIEEEConf.Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje,Poland,2006,pp.131-138,CD-ROM.

44.NikielS.:VRfürdieStratigraphiearchitektonischerArtefakte.–KonferenzbandElektronische Bildverarbeitung & Kunst, Kultur, Historie, EVA 2005,Berlin,Germany,2005,pp.158-161.

45.NikielS.andMicha³owskiJ.:TinyGIS–adesignofamobileaccesstovectorspaceinformationsystems.–Proc.Nat. Conf.Radiotelecommunications, Broadcasting and Television, KKRRiT 2006,Poznañ,Poland,2006,pp.245-248 (inPolish).

46.NikielS.,PfeifferJ.andSüssS.:VorschlageinerortsabhängigenEdutainment-Plattform.–Konferenzband Elektronische Bildverarbeitung & Kunst, Kultur, Historie, EVA 2006,Berlin,Germany,2006,pp.160-163.

47.NikielS.,PfeifferJ.,SüssS.:Designofawirelessaccesstomultimediabasedonuserlocalization.–Proc.10th PoznañTelecommunication Workshop,PWT2005,Poznañ,Poland,2005,pp.131-133(inPolish).

48.ObuchowiczA.andPrêtkiP.:Isotropicsymmetricalfa-stablemutationsforevolutionaryalgorithms.–Proc.2005IEEE CongressEvolutionary Computation, IEEE CEC 2005,Edinburgh,UK,2005,Vol.1,pp.404-410.

49.ObuchowiczA.andPrêtkiP.:Aphenotypicevolutionwithanisotropicmutationgeneratedbyalfa-stabledistributions. –Proc.8thNat.Conf.Evolutionary Algorithms and Global Optimization,Korbielów,Poland,2005,pp.171-182.

50.Ocampo-MartinínezC.,GuerraP.,PuigV.andWitczakM.:Actuatorfaulttoleranceevaluationoflinearconstrained MPC.–Proc.AnnualMeeting2006andWorkshopAdvanced Control Diagnosis,Nancy,France,2006,CD-ROM.

51.PaszkeW.,Ga³kowskiK.,RogersE.,LamJ.andXuS.:Stabilityofdifferentiallinearrepetitiveprocesseswithdelays alongtwodirections.–Proc.17thInt.Symp.Mathematical Theory of Networks and Systems, MTNS 2006,Kyoto, Japan,2006,pp.816-820,CD-ROM.

52.PaszkeW.,Ga³kowskiK.,RogersE.,KummertA.andOwensD.H.:MixedH2/Handrobustcontrolofdifferentiallinear repetitiveprocesses.–Proc.44thIEEEConf.Decision and Control and European Control Conf., CDC-ECC ‘05,Seville, Spain,2005,CD-ROM.

53.PaszkeW.,Ga³kowskiK.,RogersE.andOwensD.H.:H2controlofdifferentiallinearrepetitiveprocesses.–Proc.16th IFAC World Congress,Prague,CzechRepublic,2005,CD-ROM.

54.PaszkeW.,LamJ.,Ga³kowskiK.,XuS.,RogersE.andKummertA.:Delay-dependentstabilityof2-Dstate-delayed linearsystems.–Proc.IEEEInt.Symp.Circuits and Systems, ISCAS 2006,IslandofKos,Greece,2006, pp.2813-2816,CD-ROM.

55.PatanK.:Robustfaultdiagnosisincatalyticcrackingconverterusingartificialneuralnetworks.–Proc.16thIFAC World Congress,Prague,CzechRepublic,2005,CD-ROM.

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56.PatanK.:Stabilityconditionsofadynamicneuralnetwork.–Proc.15th Polish Control Conf., KKA 2005,Warsaw, Poland,2005,Vol.3,pp.47-50(inPolish).

57.PatanK.andKorbiczJ.:Faultdetectionincatalyticcrackingconverterbymeansofprobabilitydensityapproximation. –Proc.6thIFACSymp.Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006,Beijing, China,2006,pp.103-108,CD-ROM.

58.PatanM.:Control-orientedobservationstrategiesforparameterestimationindistributed-parametersystems.–Proc. 12thIEEEConf.Methods and Models in Automation and Robotics, MMAR,Miêdzyzdroje,Poland,2006, pp.139-144,CD-ROM.

59.PatanM.andUciñskiD.:Optimalactivationstrategyofdiscretescanningsensorsforfaultdetectionindistributed- parametersystems.–Proc.16thIFAC World Congress,Prague,CzechRepublic,2005,CD-ROM.

60.PrêtkiP.:Localconvergenceoftheevolutionaryalgorithmswithheavytailsmutation.–Proc.8thNat.Conf. Evolutionary Algorithms and Global Optimization,Korbielów,Poland,2005,pp.191-198.

61.PrêtkiP.andObuchowiczA.:Theprogressrateofsimpleevolutionarystrategieswithanisotropicalfa-stablemutation. –Proc.1stPolishandInt.PDForum-Conf.Computer Science, FCCS 2005,£ódŸ-Bronis³awów,Poland,2005,CD-ROM.

62.PrêtkiP.andWitczakM.:Assessmentandminimizationofparametricuncertaintyformulti-outputneuralnetworks -applicationtofaultdiagnosis.–Proc.Conf.Recent Developments in Artificial Intelligence Methods, AI-METH2005, Gliwice,Poland,2005,pp.155-160.

63.PuigV.,MrugalskiM.,IngimundarsonA.,QuevedoJ.,WitczakM.andKorbiczJ:AGMDHneuralnetworkbased approachtopassiverobustfaultdetectionusingaconstraintssatisfactionbackwardtest.–Proc.16thIFAC World Congress,Prague,CzechRepublic,2005,CD-ROM.

64.SawerwainM.:Quantumcomputationsimulator.–Proc.5thConf.Computer Methods and Systems, CMS ‘05,Cracow, Poland,2005,Vol.2,pp.185-190(inPolish).

65.SawerwainM.:Simulationofquantumcomputation–systemQCSanditsapplicationineducation.–Proc.11th PoznañTelecommunication Workshop, PWT,Poland,2006,pp.160-165(inPolish).

66.SawerwainM.:Aparallelimplementationofquantumcomputingsimulation.–Proc.14thNat.Conf.Networks and Information Systems: Theory, Designing, and Applications,£ódŸ,Poland,2006,pp.241-244(inPolish).

67.SteæP.:AnautomaticsegmentationofcoloredTVpicturesequencesbasedonthefastpropagationmethod.–Proc. 14thNat.Conf.Radio Communications, Broadcasting and Television, KKRRiT 2005.Cracow,Poland,2005, pp.533-536(inPolish).

68.SteæP.andDomañskiM.:Videoframesegmentationusingcompetitivecontours.–Proc.13th European Signal Processing Conf., EUSIPCO 2005,Antalya,Turkey,2005,CD-ROM.

69.SulikowskiB.,Ga³kowskiK.,DattaB.,BachelierO.andKummertA.:AnLMItechniqueforstabilityandstabilization ofdiscrete-timesecond-ordercontrolsystems.–Proc.17thInt.Symp.Mathematical Theory of Networks and Systems, MTNS 2006,Kyoto,Japan,2006,pp.810-815,CD-ROM.

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70.SulikowskiB.,Ga³kowskiK.,RogersE.,OwensD.H.andKummertA.:Outputfeedback/feedforwardcontrolofdiscrete linearrepetitiveprocessesforperformanceanddisturbancerejection.–Proc.2006American Control Conf., ACC, Minneapolis,USA,2006,pp.5103-5108,CD-ROM.

71.SulikowskiB.,Ga³kowskiK.,RogersE.andOwensD.H.:Proportionalplusintegralcontrolanddisturbancerejectionfor differentiallinearrepetitiveprocesses.–Proc.2005American Control Conf.,Portland,USA,2005,pp.1782-1787, CD-ROM.

72.SulikowskiB.,Ga³kowskiK.,RogersE.,OwensD.H.andPaszkeW.:Proportionalplusintegraloutputcontrol anddisturbancerejectionfordiscretelinearrepetitiveprocesses.–Proc.4thInt.WorkshopMultidimensional Systems, NDS 2005,Wuppertal,Germany,2005,pp.154-159,CD-ROM.

73.UciñskiD.:Time-optimalpathplanningofmovingsensorsforparameterestimationofdistributedsystems. –Proc.44thIEEEConf.Decision and Control and European Control Conf., CDC-ECC ‘05,Seville,Spain,2005, CD-ROM.

74.UciñskiD.:Planningmeasuringstrategiesinnonlinearinverseproblemsusingnonsmoothoptimalitycriteria. –Proc.15thPolish Control Conf.,KKA 2005,Warsaw,Poland,2005,Vol.2,pp.11-16(inPolish).

75.UciñskiD.:Sensornetworkdesignforparameterestimationofdistributedsystemsusingnonsmoothoptimality criteria.–Proc.44thIEEEConf.Decision and Control and European Control Conf., CDC-ECC ‘05,Seville,Spain, 2005,CD-ROM.

76.UciñskiD.andBogackaB.:Afunctionalexperimentaldesignfactorforoptimumdiscriminantionbetween multiresponsemodels.–Proc.5thSt.PetersburgWorkshopSimulation,St.Petersburg,Russia,2005,pp.703-708.

77.WitczakM.:Designofstateobserversfordiscrete-timenonlinearsystems.–Proc.15thPolish Control Conf., KKA 2005,Warsaw,Poland,2005,Vol.1,pp.231-236(inPolish).

78.WitczakM.:DevelopingD-optimumexperimentalconditionsformodel-basedfaultdetectionsystems.–Proc.16th IFAC World Congress,Prague,CzechRepublic,2005,CD-ROM.

79.WitczakM.andKorbiczJ.:DesignofobserversforLipschitznonlineardiscrete-timesystems.–Preprints.14thIFAC Symp.System Identification, SYSID 2006,Newcastle,Australia,2006,pp.985-990.

80.WitczakM.,KorbiczJ.andPuigV.:AnLMIapproachtodesigningobserversandunknowninputobserversfornonlinear systems.–Proc.6thIFACSymp.Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006,Beijing,China,2006,pp.223-228,CD-ROM.

81.WitczakM.,PrêtkiP.,KorbiczJ.andPuigV.:Designofanextendedunknowninputobserver.–Proc.AnnualMeeting 2006andWorkshopAdvanced Control Diagnosis,Nancy,France,2006,CD-ROM.

82.WiktorzakM.andWitczakM.:InTouchandartificialneuralnetworksinfaultdetectionofatwo-tanksystem.–Proc. 5thConf.Computer Methods and Systems, CMS ‘05,Cracow,Poland,2005,Vol.2,pp.107-112(inPolish).

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CMYK

patentS

1.KuriataE.:Method of message encryption and decryption with one time key.Patentno.192232. Dateofsubmission:Nov.24,1998.Dateofacceptance:Sept.29,2006.

proceeDingS, Special iSSueS of journalS, inviteD SeSSionS at conferenceS

1.Ga³kowskiK:Multidimensional systems in control and telecommunications.–Invitedsessionatthe16thIFAC World Congress,2005,Prague,CzechRepublic.

2.Ga³kowskiK.,KummertA.,RogersE.andVeltenJ.(Eds.):Proc. The Fourth Int. Workshop on Multidimensional Systems, NDS 2005,GMTGesellschaftfürMedizinundTechnik,Wuppertal,Germany.

3.Ga³kowskiK.,RogersE.andKummertA.(Eds.):Multidimensional Systems and Signal Processing:Specialissue onSelected Developments in Multidimensional Systems and Signals,2006,Vol.17,No.2-3.

4.KorbiczJ.(Ed.):Int. J. Applied Mathematics and Computer Science:SpecialissueonSoft Computing in Control and Fault Diagnosis,2006,Vol.16,No.1.

5.KorbiczJ.andQuevedoJ.:Fusion of analytical and soft computing methods in fault diagnosis.–Invitedsession atthe16thIFAC World Congress,2005,Prague,CzechRepublic.

6.KuczmaM.andKorbiczJ.(Eds.):Proc. of the INTERREG IIIC 3-CIP Conf.,UniversityofZielonaGóraPress,2005 Poland.

7.OsêkowskiC.andKorbiczJ.(Eds.):Lubuskie Province in the Year of Poland’s Accession the European Union,Lubuskie ScientificSociety,2005,ZielonaGóra,Poland.

8.PattonR.J.,KorbiczJandLesecqS.(Eds.):Control Engineering Practice, CEP:SpecialissueonA Benchmark Study of Fault Diagnosis for an Industrial Actuator,2006,Vol.14.No.6.

PUBLICATIONS


CMYK

OUR UNIVERSITY AND CITY

University Campus A

City of Zielona Góra

University Campus A

B I E N N I A L R E P O R T 2 0 0 5 - 2 0 0 6��

CMYK

zielona góra

univerSity of zielona góra, campuS a

A-0 MainBuildingA-1 GymHallA-2 TeachingHallA-3 ConcertandAssemblyHallA-4 AdministrationofficesA-5 FacultyofEconomicsandManagementA-6 UniversityLibraryA-7 AdministrationofficesA-8 FacultyofCivilandEnvironmental EngineeringA-9 FacultyofElectricalEngineering,Computer ScienceandTelecommunicationsA-10 FacultyofMechanicalEngineeringA-11 FacultyofMechanicalEngineeringA-12 InstituteofEnvironmentalEngineeringA-13 GymHallA-15 DepartmentofForeignLanguagesA-29 SciencesFacility0-4 Staffhallsofresidence0-5 Staffhallsofresidence0-6 Staffhallsofresidence0-7 StaffhallsofresidenceC-1 StudenthallsofresidenceC-2 StudenthallsofresidenceC-3 StudenthallsofresidenceC-4 CanteenM-0 Warehouse

OUR LOCATION


CMYK

INFORMATION

SuperviSion

JózefKorbiczandDariuszUciñski

eDiting

AndrzejJanczakandMaciejPatan

linguiStic verification

AgnieszkaRo¿ewska

grapHic DeSign anD computer typeSetting

MarcinPaszek

pHotograpHS

KazimierzAdamczewskiandtheInstitute’sstaff

contact

InstituteofControlandComputationEngineering

UniversityofZielonaGóra

ul.Podgórna50,65-246ZielonaGóra,Poland

Phone:+48683282422and+48683282473

Fax:+48683284751

E-mail:[email protected]

Website:http://www.issi.uz.zgora.pl

iSbn

978-83-7481-078-4

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Documents

Institute of Control and Computation Engineering · The Institute of Control and Computation Engineering (ICCE) was established in 1992 as the fourth institute at the Faculty. Up