EECE 301 Note Set 28a CT Partial Fractions

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  • 7/31/2019 EECE 301 Note Set 28a CT Partial Fractions

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    EECE 301

    Signals & Systems

    Prof. Mark Fowler

    Note Set #28a

    C-T Systems: Laplace Transform Partial Fractions Reading Assignment: Notes 28a Reading on Partial Fractions

    (On my website)

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    Ch. 1 Intro

    C-T Signal Model

    Functions on Real Line

    D-T Signal Model

    Functions on Integers

    System Properties

    LTICausal

    Etc

    Ch. 2 Diff EqsC-T System Model

    Differential Equations

    D-T Signal ModelDifference Equations

    Zero-State Response

    Zero-Input Response

    Characteristic Eq.

    Ch. 2 Convolution

    C-T System Model

    Convolution Integral

    D-T System Model

    Convolution Sum

    Ch. 3: CT FourierSignalModels

    Fourier Series

    Periodic Signals

    Fourier Transform (CTFT)

    Non-Periodic Signals

    New System Model

    New Signal

    Models

    Ch. 5: CT FourierSystem Models

    Frequency Response

    Based on Fourier Transform

    New System Model

    Ch. 4: DT Fourier

    SignalModels

    DTFT

    (for Hand Analysis)DFT & FFT

    (for Computer Analysis)

    New Signal

    Model

    Powerful

    Analysis Tool

    Ch. 6 & 8: LaplaceModels for CT

    Signals & Systems

    Transfer Function

    New System Model

    Ch. 7: Z Trans.

    Models for DT

    Signals & Systems

    Transfer Function

    New System

    Model

    Ch. 5: DT Fourier

    System Models

    Freq. Response for DT

    Based on DTFT

    New System Model

    Course Flow DiagramThe arrows here show conceptual flow between ideas. Note the parallel structure between

    the pink blocks (C-T Freq. Analysis) and the blue blocks (D-T Freq. Analysis).

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    There is a set of notes on-line called . Reading Notes on Partial

    Fraction Expansion

    You should read these on your own

    They lead you through several examples of using partial fractions to take a

    ratio of two high-order polynomial and expand it into a sum of ratios of

    simple polynomials.

    You should be able to:

    Perform a simple partial fraction by hand (e.g., during an

    exam)

    Use matlab to compute more complicated partial fractions

    Here Ill cover the main ideas

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    When trying to find the inverse Laplace transform it is helpful to be able to break a

    complicated ratio of two polynomials into forms that are on the Laplace Transformtable.

    Partial Fraction Expansion and Inverse LT

    +=

    + RCsssRCs

    RC --

    /1

    11

    )/1(

    /1 11LL

    +

    =

    RCss

    --

    /1

    11 11LL

    Linearity

    of LT

    )(tu= )()/( tue RCt=

    Here the factoring could be done by inspection in general, this factoringcan be done using the method of partial fraction expansion (PFE)

    Factor LT

    into simpler

    forms

    An Example:

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    Motivation Going the Other Way

    ( ) ( )2

    5

    4

    3

    2)( +

    ++

    +=

    sssY

    Suppose we had this:

    We want to go from

    here to here

    This has poles at

    s = -3 and s =-5

    A term like thisis called a

    Direct Term

    We could find the common denominator and combine:

    ( )( )( )

    ( )( )( )

    ( )( )( )( )

    158

    47222

    53

    532

    53

    34

    53

    52)(

    2

    2

    ++

    ++=

    ++

    +++

    ++

    ++

    ++

    +=

    ss

    ss

    ss

    ss

    ss

    s

    ss

    ssY

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    Ex. #1: No Direct Terms, No Repeated Roots, No Complex Roots

    Well illustrate with an example like you should be able to do on an exam:

    If the highest power in the numerator is less than the highest power in the

    denominator then there will be no direct terms.

    By using the quadratic formula to find the roots of the denominator we can

    verify that there are no repeated or complex roots.

    23

    13)(

    2 ++=ss

    ssY

    If there are no repeated roots and no direct terms we can

    always write it as

    )2()1()( 21

    ++

    +=

    s

    r

    s

    rsY

    The numbers r1 and r2 are called the residues we need to find them!

    )2)(1(13)(++ = ss

    ssYThe roots are: s = -2 and s = -1 so we can write:

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    Now we exploit what we know:

    )2()1()2)(1(

    13 21

    ++

    +=

    ++

    s

    r

    s

    r

    ss

    s

    Multiply each side by (s+1) gives:

    )2(

    )1(

    )1(

    )1(

    )2)(1(

    )1)(13( 21

    +

    ++

    +

    +=

    ++

    +

    s

    sr

    s

    sr

    ss

    ss

    Canceling (s+1) where we can gives:

    )2(

    )1(

    )2(

    )13( 21

    +

    ++=

    +

    s

    srr

    s

    s

    Setting s = 1 gives:

    4

    )21(

    )13(11 ==

    +

    rr

    11)1)((

    =+=

    sssYr

    All of this is

    summarized

    by this

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    Similarly we find the other residue using: 7)2)((22=+=

    =sssYr

    )2(

    7

    )1(

    4)(+

    ++=

    sssY

    Then we have:

    Each of these terms is on the LT Table, so we get

    )(7)(4

    )2(

    7

    )1(

    4)(

    2

    11

    tuetue

    ssty

    tt

    +=

    ++

    +

    = LL

    See the set of notes on my website called . Reading Notes on Partial

    Fraction Expansion for details on how to use MATLAB to find PartialFraction Expansions for the more complicated cases.