Image Processing Reference
In-Depth Information
3.2.1 S OLUTION OF C ONSTANT -C OEFFICIENTS L INEAR D IFFERENTIAL E QUATIONS
We
first consider zero-input response that is the response of the system de
ned by
Equation 3.1 when the input signal u ( t )
is zero. Consider an Nth-order constant-
, y 0 (
coef
cients linear DE with zero input driven by initial conditions y (
0
)
0
)
,...,and
y ( N 1 ) (
0
)
:
N y ( t )
d t N
N
1
d
þ a N 1 d
y ( t )
d t N 1 þþ a 0 y ( t ) ¼ 0
( 3 : 2 )
Assuming a solution of the form y ( t ) ¼ Ce Dt , we would have
e Dt
CD N
þ a N 1 D N 1
þ a N 2 D N 2
þþ a 0
¼
0
(
3
:
3
)
Since Ce Dt is nonzero, then
D N
þ a N 1 D N 1
þ a N 2 D N 2
þþ a 0 ¼
0
(
3
:
4
)
This polynomial is called characteristic equation of the DE. It is a polynomial of
degree N that has N roots D 1 , D 2 ,..., andD N . These roots are generally complex
and are called characteristic roots of the DE. The zero-input solution is given by
y ( t ) ¼ C 1 e D 1 t
þ C 2 e D 2 t
þþ C N e D N t
(
3
:
5
)
The constants C 1 , C 2 ,..., andC N are found by applying the N initial conditions.
The stability of the system is de
ned in terms of the zero-input response. The
discrete LTI system described by DE given in Equation 3.1 is stable if the zero-input
response decays to zero as t !1
. This implies that the characteristic roots must
have real parts less than zero, that is,
Re( D i ) <
for
i ¼
...
(
:
)
0
1, 2,
, N
3
6
Example 3.1
Solve the following second-order DE with initial conditions y(0)
¼
1 and
dy(t)
dt
j t¼0 ¼
4:
d 2 y(t)
dt 2
3 dy(t)
þ
dt þ
2y(t)
¼
0
S OLUTION
The characteristic equation is D 2
þ
3D þ
2
¼
0, which can be written as
D 2
þ
3D þ
2
¼
(D þ
1)(D þ
2)
¼
0
Therefore, the roots are D 1 ¼
1 and D 2 ¼
2. The zero-input response is
¼ C 1 e D 1 t
þ C 2 e D 2 t
¼ C 1 e t
þ C 2 e 2t
y(t)
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