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EE 529 Circuits and
Systems Analysis
Lecture 9
Mustafa Kemal Uyguroğlu
State vector
a listing of state variables in vector form
x1 (t)
x (t)
2
x(t)
x
(t)
n
1
xn (t)
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State equations
x1 (t)
x (t)
x (t) 2 A x(t) Bu(t)
xn (t)
y (t) C x(t) Du(t)
System dynamics
Measurement
Read-out map
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x:n-vector (state vector)
u:p-vector (input vector)
y:m-vector (output vector)
n
n A:nxn
p
n B:nxp
n
m C:mxn
p
m D:mxp
System matrix
Input (distribution) matrix
Output matrix
Direct-transmission matrix
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Solution of state eq’ns
Consists of:
Free response & Forced sol’n
(Homogenous sol’n)
(particular sol’n)
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Homogenous solution
Homogenous equation
x Ax
has the solution
x(t) Φ(t) x0
State transition matrix
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X(0)
State transition matrix
An nxn matrix (t), satisfying
(t ) A(t ),
(0) I
where I is n n identity matrix.
x 0 = 0 x 0
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Determination of (t): transform method
Laplace transform of the differential equation:
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Determination of (t): transform method
At
t L sI A e
1
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1
Determination of (t): time-domain solution
Scalar case
x ax
x t t x 0
(t ) a. (t )
(t ) e
at
where
e 1 at ( at ) .........
at
1
2!
2
k 0
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1
k!
k k
a t
Determination of (t): time-domain solution
For vector case, by analogy
(t ) A. (t )
(t ) e
At
where
e 1 At ( At ) ......... A t
At
1
2!
2
k 0
Can be verified by substitution.
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1
k!
k k
Properties of TM
(0)=I
-1(t)= (-t)
t0
Ф(t2-t1)Φ(t1-t0)= Φ(t2-t0)
[Φ(t)]k= Φ(kt)
t1
t2
Φ(t1-t0) Φ(t2-t0Φ(t
) 2-t1)
Φ(t) Φ(t) Φ(t)
Φ(kt)Φ(t) Φ(t) Φ(t)
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General solution
Scalar case
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General solution
Vector case
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General solution: transform method
L{ x Ax Bu }
s xˆ(s) x(0) Axˆ(s) Buˆ(s)
1
1
ˆ (sI A) x(0) (sI A) Bu(s)
ˆ
x(s)
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Inverse Laplace transform yields:
x(t) Φ(t) x(0) Φ(t) * Bu(t)
t
x(t) e x(0) e
At
A(t - )
Bu( )d
0
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For initial time at t=t0
x(t) e
A(t -t0 )
t
x(t 0 ) e
A(t - )
t0
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Bu( )d
The output
y(t)=Cx(t)+Du(t)
y (t) Ce
t
A(t - t 0 )
x(t 0 ) C e
A(t - )
Bu(t)d Du(t)
t0
Zero-input
response
Zero-state response
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Example
Obtain the state transition matrix (t) of the
following system. Obtain also the inverse of the state
transition matrix -1(t) .
x1 0 1 x1
x 2 3 x
2
2
For this system
0 1
A
2
3
the state transition matrix (t) is given by
(t ) eAt L1[(sI A)1 ]
since
s 0 0 1 s 1
sI A =
2 3 2 s 3
0
s
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Example
The inverse (sI-A) is given by
s 3 1
1
( sI A )
( s 1)( s 2) 2 s
1
s 21 s 1 2
( sI A ) 2
2
s 1 s 2
1
s 1 2
1
2
s 1
s2
1
s 1
Hence
2et e2t
(t )
t
2t
2e 2e
et e2t
et 2e2t
Noting that -1(t)= (-t), we obtain the inverse of transition matrix as:
1
(t ) e
At
2et e2t
t
2t
2e 2e
et e 2 t
et 2e2t
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Exercise 1
Find x1(t) , x2(t)
The initial condition
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Exercise 1 (Solution)
x = (t)x(0)
1
(t ) L 1 sI A
s 1
sI A
5 s 4
s4
s 4 1 s 2 4 s 5
1
1
sI A 2
5
s 4 s 5 5 s
2
s 4 s 5
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1
s 2 4s 5
s
2
s 4 s 5
Example 2
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Exercise 2
Find x1(t) , x2(t)
The initial condition
Input is Unit Step
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Exercise 2 (Solution)
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Matrix Exponential eAt
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Matrix Exponential eAt
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The transformation
1
1
2
1
2
22
P= 1
1n 1 2n 1
x = Pxˆ
1
n
2
n
nn 1
where
1,2,…,n are distinct
eigenvalues of A. This
transformation will transform
P-1AP into the diagonal
matrix
0
1
2
P 1AP =
n
0
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Example 3
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Method 2:
e At L1[( sI A) 1 ]
s 0 0 1 s 1
sI A =
0 2 0 s 2
0
s
1 1
1
s 2 1 s s s 2 s
1
1
( sI A)
s
s s 2 0
1
0
0
s2
1
2 t
1
1
e
2
At
1
1
e L [( sI A) ]
1
0
e 2t
2
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11
1
2 s s 2
1
s2
Matrix Exponential eAt
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Matrix Exponential eAt
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Example 4
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Laplace Transform
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