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Proof.
The proof is very similar to the one for Theorem 1 with some modifica-
tions. For the sake of space, the detailed proof is omitted here.
In what follows, we will show that the design method of the robust non-fragile
controller based on the LMI framework [28].
Firstly, we give the sucient condition for the existence of non-fragile state
feedback controller with additive control gain perturbations of form (4).
Theorem 3.
Consider system (1), for given scalar
ε
1
i
>
0
,ε
2
i
>
0
,ε
3
i
>
0
,ε
4
i
>
0
,λ
0
>
0
,
M
,ifthereexist
X
i
>
0
,W
i
, and the state feedback
gain matrix
K
i
=
W
i
X
−
1
∀
i
∈
(if it exists), such that the LMIs condition
i
⎡
⎣
⎤
⎦
Γ
i
X
i
L
i
X
i
N
i
W
i
M
i
0
E
i
X
i
N
i
∗−
ε
1
i
I
0
0
0 0
0
∗∗−
ε
2
i
I
0
0
0
0
∗∗ ∗−
ε
3
i
I
0
0
0
<
0
(23)
∗∗ ∗ ∗−
Ξ
(
ε
4
i
)0 0
∗∗ ∗ ∗ ∗−
ε
4
i
I
0
∗∗ ∗ ∗ ∗ ∗−
ε
4
i
I
holds, then the closed-loop system (21) with additive control gain perturbations
(4) is exponentially stable with stability margin
λ
under arbitrary switching signal
in terms of average dwell-time satisfying
τ
D
≥
τ
D
.In(23),
Γ
i
=
He
{
A
i
X
i
+
+
ε
1
i
D
i
D
i
+
ε
2
i
B
i
F
i
F
i
B
i
+
ε
3
i
E
i
E
i
+2
λ
0
X
i
,
Ξ
(
ε
4
i
)=
I
B
i
W
i
}
−
ε
4
i
(
I
+
M
i
F
i
F
i
M
i
)
.
Proof.
Using Lemma 2, we can get
ε
1
i
P
i
D
i
D
i
P
i
+
ε
−
1
1
i
L
i
L
i
,
He
{
P
i
ΔA
i
}≤
ε
2
i
P
i
B
i
F
i
F
i
B
i
P
i
+
ε
−
1
2
i
N
i
N
i
,
He
{
P
i
B
i
ΔK
i
}≤
ε
3
i
P
i
E
i
E
i
P
i
+
ε
−
1
3
i
K
i
M
i
M
i
K
i
.
He
{
P
i
ΔB
i
K
i
}≤
Due to
He
{
P
i
ΔB
i
ΔK
i
}
=
He
{
P
i
E
i
Δ
B
i
(
t
)
M
i
F
i
Δ
K
i
(
t
)
N
i
}
, one has
(
P
i
E
i
Δ
B
i
(
t
)+
N
i
Δ
K
i
(
t
)
F
i
M
i
)
He
{
P
i
ΔB
i
ΔK
i
}≤
×
(
P
i
E
i
Δ
B
i
(
t
)+
N
i
Δ
K
i
(
t
)
F
i
M
i
)
T
.
Substituting the above inequalities into (22), it yields
A
i
P
i
+
P
i
A
i
+
K
i
B
i
P
i
+
P
i
B
i
K
i
+2
λ
0
P
i
+
ε
1
i
P
i
D
i
D
i
P
i
+
ε
−
1
1
i
L
i
L
i
+
3
i
K
i
M
i
M
i
K
i
+
(
P
i
E
i
Δ
B
i
(
t
)+
N
i
Δ
K
i
(
t
)
F
i
M
i
)(
P
i
E
i
Δ
B
i
(
t
)+
N
i
Δ
K
i
(
t
)
F
i
M
i
)
T
<
0
.
(24)
ε
2
i
P
i
B
i
F
i
F
i
B
i
P
i
+
ε
−
1
2
i
N
i
N
i
+
ε
3
i
P
i
E
i
E
i
P
i
+
ε
−
1
Let us introduce the matrix
X
i
=
P
−
i
and consider the change of variable
W
i
=
K
i
X
i
. Then, pre- and post-multiplying (24) by
P
−
i
, and using Lemma 1,
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