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Continuous Time Convolution Properties

LCCDE

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Linear Constant coefficient Differential Equation

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Page 1: LCCDE

Continuous Time Convolution Properties

Page 2: LCCDE

• Commutative: )(*)()(*)( txththtx

• Associative:)(*)()(*)( txththtx =

• Associative:))(*)((*)()(*))(*)(( tztytxtztytx =

• Distributive:))()(()()())()(( yy

)(*)()(*)())()((*)( tztxtytxtztytx +=+

Page 3: LCCDE

Commutativity)()()(*)( dthxthtx −= ∫

τττ

let

)()()()(

2t =−

∫∞−

ττ

)()(

let 2

dhtx

t

−= ∫∞

τττ

ττ

)()( 222 dhtx= ∫∞

∞−

τττ

)()( 222 dhtx −= ∫∞−

τττ

)(*)( txth=

Page 4: LCCDE

Connecting SystemsConnecting Systems( )

h2(t)h1(t)x(t) y(t)z(t)

h(t)=h1(t)*h2(t)x(t) y(t)

(t)*)(t)*(t)((t)*(t)(t) 2112 hhxhzy ==

(t)*(t))(t)*(t)(*(t) 21 hxhhx == (t)(t))(t)(t)((t) 21 hxhhx

Page 5: LCCDE

Connecting SystemsConnecting Systemsh1(t)

x(t)

h2(t)

h1(t)

y(t)+

h2(t)

h(t)=h1(t)+h2(t)x(t) y(t)

(t)*(t)(t)*)(t)(t)((t)*(t)(t)*(t)(t) 21

xhxhhxhxhy

=+=+=

(t)(t)(t))(t)(t)( 21 xhxhh =+=

Page 6: LCCDE

Inverse SystemsInverse Systems:nconvolutioforidentityis][nδ

][][*][:nconvolutiofor identity is ][

nxnnxn

=δδ

• Let’s look for a system such that:][][*][ iff

][][*][*][][*][][

21

122

nnhnhnxnxnhnhnynhnz

δ====

• The system with impulse response h2 is said to be the inverse system of h1

][][][ 21

y 1

Page 7: LCCDE

Inverse SystemsInverse Systems• Inverse system can recover input x(t) from output y(t)

• Not always possible to find inverse systemh2(t)h1(t)x(t) x(t)y(t)

• Generally solve equation:)()(*)( tthth δ= )()()( 21 tthth δ=

Page 8: LCCDE

Linear Constant‐Coefficient Differential EquationsEquations• It will often be useful to describe systems using equations involving the rate of change in some q g gquantity, e.g. SHM

xd 2

• This is a differential equationcxdtxd

−=2

• This is a differential equation• This is an ordinary differential equation (ODE) y q ( )because there is only one independent variable and derivatives with respect to that variable

Page 9: LCCDE

• The general form of the ODE is given as:The general form of the ODE is given as:∑∑m kn k txdbtyd )()( ∑∑==

=k

kkk

kk dttxdb

dttyda

00

)()(

• The equation above is linear with real co‐efficients ak and bkk k

Page 10: LCCDE

Example• Consider an RLC circuit• The voltage across the battery is V

1• The voltage across the capacitor is • The voltage across the resistor is q

C1

dqRThe voltage across the resistor is• The voltage across the inductor is dt

R

2

2

dtqdL

dt

Page 11: LCCDE

• Using Kirchoff ’s voltage law we have:Using Kirchoff s voltage law we have:Vq

CdtdqR

dtqdL =++

12

2

• Which describes the operation of the given RLCcircuitcircuit• Many systems can be described using ODEsMany systems can be described using ODEs

Page 12: LCCDE

Solving LCCDEsSolving LCCDEs• The approach is to find the general form of all pp gpossible solutions to the equation and then apply a number of conditions to find the appropriate solutionsolution.• The two main types of problems are:The two main types of problems are:

– initial value problems, which involve constraints on the solution and its derivatives at a single point, and b d l bl h h l– boundary value problems, which involve constraints on the solution or its derivatives at several points.

Page 13: LCCDE

• The number of initial conditions needed for anThe number of initial conditions needed for an Nth order differential equation, which is the order of the highest order derivative, is N, and a unique solution is always guaranteed if these are supplied.

• Boundary value problems can be slightly more complicated and will not necessarily have acomplicated and will not necessarily have a unique solution or even a solution at all for a given set of conditions.g

Page 14: LCCDE

• Solution is given by:)()()( tytyty +

• yh(t) is the homogeneous (or complementary)

)()()( tytyty ph +=

solution for input x(t)=0. It represents “natural modes” of unforced oscillation• yp(t) is the particular solution due to input x(t), represents the forced responserepresents the forced response

Page 15: LCCDE

SolvingSolving …• LCCDEs are solved in two parts. • First solve the complementary equation, set to zero. • Then solve the particular solution.

Page 16: LCCDE

The Homogenous SolutionThe Homogenous Solution• Since the input is equal to zero, we have:

0)(0

==∑ dt

tydan

kk

k

k

)()()( 1− tydtydtyd nn

(1) ... 0)()(...)()(0111 =+++ −− tya

dttyda

dttyda

dttyda nnnn

• Assume the solution is of the form:,)( Cety st=

constants are s and where,)(

Cy

Page 17: LCCDE

The Homogenous SolutionThe Homogenous Solution• Applying the solution to equation (1)Applying the solution to equation (1)

( )( ) 0... 011

1 =++++ −−

stnn

nn Ceasasasa

• Assuming C≠0, then44444 344444 21 01

11 0... =++++ −− asasasa nn

nn 2

equation sticcharacteri

Page 18: LCCDE

The Homogenous SolutionThe Homogenous Solution• Factorizing characteristic polynomial we get:g p y g( )( ) ( ) 0...- :such that , 21 =−− ni sssssss• Each si with a corresponding Ci form a solution

tsieCty =)(• Owing to linearity, the homogeneous solution is:ii eCty =)(

Wh C f t t h i iti l diti (IC)

tsn

tsn

tstsh

nn eCeCeCeCty ++++= −−

121121 ...)(• Where Ci are free to match initial conditions (IC)

Page 19: LCCDE

Repeated RootsRepeated Roots• Repeated roots in characteristic polynomial:

( ) ( )( ).....321 −−− L ssssss

( ) ......)( 3211

11

2321 +++++++= +

−−

tsL

tsL

tsLLh eCeCetCtCtCCty

Page 20: LCCDE

P i l l iParticular solution• Represents the forced response of the system• Solution depends on the form of the input

W h f f (t) di th f f (t)• We choose form of yp(t) according the form of x(t)

• Substitute y (t) into non‐homogeneous DE andSubstitute yp(t) into non homogeneous DE and compare coefficients on both sides of the equation

Page 21: LCCDE

Particular SolutionParticular Solution• IfIf

5)( 7etx t= −

)( 7Pety tp = −

• If )377cos(170)( ttx =)377cos()377cos()( 21 tPtPtyp +=

Page 22: LCCDE

ExampleExample2)(2)(

+ tytdy

( ) 2)(2 =+ tydt

• For t ≥ 0, y(0) = 4• The homogenous solution is assumed to be

sth eCty =)(

Page 23: LCCDE

• Applying this to the differential equation andApplying this to the differential equation and setting x(t)=02)(2)(

+ ttdyh

02 =+ eCesC stst

2)(2)(=+ ty

dty

hh

0)2(

02

=+

=+

eCs

eCesCst

• The homogenous solution is2−=⇒ st

h eCty 2)( −=The homogenous solution is hy )(

Page 24: LCCDE

• For the particular solution consider theFor the particular solution, consider the input, which is a constant, thus the particular solution takes a similar formparticular solution takes a similar formPtyp =)(

2)(2)(

=+ tydttdy

pp

22 =⇒ Pdt p

1 =P

Page 25: LCCDE

• The solution is thus:• The solution is thus:1)()()( 2 +=+= − t

ph eCtytyty

• To find C we take into account the initial )()()( ph yyy

condition, y(0)=4]1[)0()0()0( 2C t

41

]1[)0()0()0()0(2

0

2

=+

+=+=−

=

Ce

Ceyyyt

tph

341

==+

CC

3=C

Page 26: LCCDE

• The total solution is then:The total solution is then:tety 231)( −+=