3.5 Analysis of LTI Systems 215
I(s)=
∑N
k= 1
ak
k∑− 1
m= 0
sk−m−^1 y(m)( 0 )
That is,I(s)depends on the initial conditions.
The notationy(k)(t)andx()(t)indicates thekth and the
th derivatives ofy(t)and ofx(t), respectively
(it is to be understood thaty(^0 )(t)=y(t)and likewisex(^0 )(t)=x(t)in this notation). The assump-
tionN>Mavoids the presence ofδ(t)and its derivatives in the solution, which are realistically not
possible. To obtain the complete responsey(t)we compute the Laplace transform of Equation (3.29):
[N
∑
k= 0
aksk
]
︸ ︷︷ ︸
A(s)
Y(s)=
[M
∑
`= 0
b`s`
]
︸ ︷︷ ︸
B(s)
X(s)+
∑N
k= 1
ak
k∑− 1
m= 0
s(k−^1 )−my(m)( 0 )
︸ ︷︷ ︸
I(s)
which can be written as
A(s)Y(s)=B(s)X(s)+I(s) (3.32)
by definingA(s),B(s), andI(s)as indicated above. Solving forY(s)in Equation (3.32), we have
Y(s)=
B(s)
A(s)
X(s)+
1
A(s)
I(s)
and finding its inverse we obtain the complete responsey(t).
Letting
H(s)=
B(s)
A(s)
and H 1 (s)=
1
A(s)
thecomplete responsey(t)=L−^1 [Y(s)]of the system is obtained by the inverse Laplace transform of
Y(s)=H(s)X(s)+H 1 (s)I(s) (3.33)
which gives
y(t)=yzs(t)+yzi(t) (3.34)
where
zero-state response: yzs(t)=L−^1 [H(s)X(s)]
zero-input response: yzi(t)=L−^1 [H 1 (s)I(s)]
In terms of convolution integrals,
y(t)=
∫t
0
x(τ)h(t−τ)dτ+
∫t
0
i(τ)h 1 (t−τ)dτ (3.35)