# Absolute Stability of a Class of Nonlinear Singular Systems with Time Delay

Authors: Hong-Bing Zeng; Gang Chen; Shen-Ping Xiao
Journal: Abstract and Applied Analysis
 (2014)

---

## Abstract

This paper deals with the absolute stability for a class of nonlinear singular systems with time delay. By employing a new Lyapunov-Krasovskii functional with the idea of partitioning delay length, improved delay-dependent stability criteria are established. The resulting condition is formulated in terms of linear matrix inequalities (LMIs), which is easy to be verified by exiting LMI optimization algorithms. A numerical example is given to show the effectiveness of the proposed technique and its improvements over the existing results.


---

## Body

## 1. Introduction

Since the concept of absolute stability and the Lur’e problem were introduced, the absolute stability of Lur’e control systems has received considerable attention and many rich results have been proposed during the last decades [1]. Time delays widely exist in practical systems, which is a source of instability and deteriorated performance [2–4]. Therefore, great efforts have been made to investigate the absolute stability of Lur’e systems with time delay and many results have been achieved [4–9].Recently, an integral inequality approach was proposed to investigate the Lur’e system with time delay and new absolute stability criteria were obtained [7]. In addition, as it is impossible to reduce the conservatism of the derived conditions by employing simple Lyapunov-Krasovskii functional, some other efforts are made to improve the delay-dependent conditions via introducing new Lyapunov-Krasovskii functionals. For example, improved results for time delay systems were obtained by introducing the augmented Lyapunov-Krasovskii functional [10] and the delay-partitioning Lyapunov-Krasovskii functional [5]. By employing a discretized Lyapunov-Krasovskii functional, new absolute stability condition for a class of nonlinear neutral systems is derived in [11]. Although [11] can achieve less conservative results, the condition was much more complicated than those based on simple Lyapunov-Krasovskii functionals.On the other hand, singular systems have been extensively studied in the past few years due to the fact that singular systems describe physical systems better than state-space ones [12–15]. Depending on the area of application, these models are also called descriptor systems, semistate systems, differential-algebraic systems, or generalized state-space systems. Therefore, the study of the absolute stability problem for the Lur’e singular system with time delay is of theoretical and practical importance [16].In this paper, by employing the delay-partitioning approach proposed in [17], we construct a new Lyapunov-Krasovskii functional to investigate the absolute stability of Lur’e singular systems with time delay. Improved delay-dependent absolute stability criteria are presented. The criteria are easy to follow, and those criteria obtained in [16] by using simple Lyapunov-Krasovskii functional are involved in our results. Numerical example is given to demonstrate the advantage of the proposed method.Notation. Throughout this paper, ℝ
n denotes then-dimensional Euclidean space; ℝ
n
×
m is the set of all n
×
m real matrices; for a real matrix P, P
>
0 (resp., P
<
0) means that P is real symmetric and positive definite (resp., negative definite); I is an identity matrix of appropriate dimensions, and the symmetric terms in a symmetric matrix are denoted by “*.”


## 2. Problem Statement and Preliminaries

Consider the following system with time delay and sector-bounded nonlinearity:(1)
E
x
˙
(
t
)
=
A
x
(
t
)
+
B
x
(
t
-
h
)
+
D
w
(
t
)
,
z
(
t
)
=
M
x
(
t
)
+
N
x
(
t
-
h
)
,
w
(
t
)
=
-
φ
(
t
,
z
(
t
)
)
,
x
(
t
)
=
ϕ
(
t
)
,
t
∈
[
-
h
,
0
]
,
where x
(
t
)
∈
ℝ
n is the state vector of the system; w
(
t
)
∈
ℝ
m and z
(
t
)
∈
ℝ
m are input vector and output vector, respectively; E
,
A
,
B
,
D
,
M
,
N are constant matrices, where E may be singular and it is assumed that rank E
=
r
≤
n and that the scalar h
>
0 is the delay of the system; the initial condition, ϕ
(
t
), is a continuous vector-valued function of t
∈
[
-
h
,
0
]. φ
(
t
,
z
(
t
)
)
∈
ℝ
m is a nonlinear function, which is piecewise continuous in t, globally Lipschitz in z
(
t
), φ
(
t
,
0
)
=
0, and satisfies the following sector condition:
(2)
[
φ
(
t
,
z
(
t
)
)
-
K
1
z
(
t
)
]
T
[
φ
(
t
,
z
(
t
)
)
-
K
2
z
(
t
)
]
≤
0
,
where K
1 and K
2 are constant real matrices and K
=
K
2
-
K
1 is a symmetric positive definite matrix. It is customary that such a nonlinear function φ
(
t
,
z
(
t
)
) is said to belong to a sector [
K
1
,
K
2
].In this paper, we also investigate the robust absolute stability of the following uncertain system:(3)
E
x
˙
(
t
)
=
(
A
+
Δ
A
(
t
)
)
x
(
t
)
+
(
B
+
Δ
B
(
t
)
)
×
x
(
t
-
h
)
+
D
w
(
t
)
,
z
(
t
)
=
M
x
(
t
)
+
N
x
(
t
-
h
)
,
w
(
t
)
=
-
φ
(
t
,
z
(
t
)
)
,
x
(
t
)
=
ϕ
(
t
)
,
t
∈
[
-
h
,
0
]
,
where the uncertainties are of the form
(4)
[
Δ
A
(
t
)
Δ
B
(
t
)
]
=
L
F
(
t
)
[
E
a
E
b
]
,
where L
,
E
a, and E
b are constant matrices, and F
(
t
) is a time-varying matrix satisfying
(5)
F
T
(
t
)
F
(
t
)
≤
I
,
∀
t
.Next, the following definitions and lemmas are introduced, which will be used in the proof of the main results.Definition 1 (see [12]).
(i) The pair (E
,
A) is said to be regular if det
⁡
(
s
E
-
A
) is not identically zero. (ii) The pair (E
,
A) is said to be impulse-free if deg
⁡
(
det
⁡
(
s
E
-
A
)
)
= rankE.Definition 2 (see [12]).
(i) The nonlinear singular system (1) is said to be regular and impulse-free if the pair (E
,
A) is regular and impulse-free. (ii) The nonlinear singular system (1) is said to be globally uniformly asymptotically stable for any nonlinear function φ
(
t
,
z
(
t
)
) satisfying (2) if, for any ϵ
>
0, there exists a scalar δ
(
ϵ
) such that, for any compatible initial conditions ϕ
(
t
) satisfying sup
⁡
-
h
≤
t
≤
0
⁡
∥
ϕ
(
t
)
∥
≤
δ
(
ϵ
), the solution x
(
t
) of the system (1) satisfies ∥
x
(
t
)
∥
≤
ϵ for t
≥
0. Furthermore, lim
t
→
∞
⁡
x
(
t
)
=
0.Lemma 3 (see [18]).
Consider the functionφ
:
ℝ
+
→
ℝ; if φ is uniformly continuous and ∫
0
∞
‍
φ
(
s
)
d
s
<
∞, lim
⁡
t
→
∞
φ
(
t
)
=
0.Lemma 4 (see [19]).
For any symmetric positive-definite matrixM
∈
ℝ
n
×
n and a scalar γ
>
0, if there exists a vector function ω
(
α
)
:
[
-
γ
,
0
]
→
ℝ
n such that the following integrals are well defined, then
(6)
-
γ
∫
-
γ
0
‍
ω
˙
(
t
+
α
)
T
E
T
M
E
ω
˙
(
t
+
α
)
d
α
≤
[
ω
(
t
)
ω
(
t
-
γ
)
]
T
[
-
E
T
M
E
E
T
M
E
*
-
E
T
M
E
]
[
ω
(
t
)
ω
(
t
-
γ
)
]
.Lemma 5 (see [20]).
LetH
,
E, and F
(
t
) be real matrices of appropriate dimensions with F
(
t
) satisfying F
T
(
t
)
F
(
t
)
≤
I. Then, for any scalar ε
>
0,
(7)
H
F
(
t
)
E
+
(
H
F
(
t
)
E
)
T
≤
ε
-
1
H
H
T
+
ε
E
T
E
.


## 3. Main Results

Firstly, by means of the loop transformation suggested in [21], it can be concluded that the absolute stability of system (1) in the sector [
K
1
,
K
2
] is equivalent to that of the following system in the sector [
0
,
K
2
-
K
1
]:
(8)
E
x
˙
(
t
)
=
A
-
x
(
t
)
+
B
-
x
(
t
-
h
)
+
D
w
(
t
)
,
z
(
t
)
=
M
x
(
t
)
+
N
x
(
t
-
h
)
,
w
(
t
)
=
-
φ
(
t
,
z
(
t
)
)
,
x
(
t
)
=
ϕ
(
t
)
,
t
∈
[
-
h
,
0
]
,
where A
-
=
A
-
D
K
1
M
,
B
-
=
B
-
D
K
1
N.Thus, for the absolute stability of system (1), we have the following result.Theorem 6.
Given integerk and scalar τ
=
h
/
k
>
0, the system (1) with nonlinear connection function satisfying (2) is absolutely stable in the sector [
K
1
,
K
2
] if there exist a scalar ε
>
0, matrices(9)
P
=
P
T
>
0
,
Q
a
=
[
Q
11
Q
12
⋯
Q
1
k
*
Q
22
⋯
Q
2
k
*
*
⋱
⋮
*
*
*
Q
k
k
]
≥
0
,
Z
i
=
Z
i
T
>
0
,
(
i
=
1,2
…
,
k
)
,
and a matrix S with appropriate dimensions, such that the following LMI holds:
(10)
Φ
=
[
Φ
11
Φ
12
Φ
13
*
Φ
22
0
*
*
Φ
33
]
<
0
,
where
(11)
Φ
11
=
[
Π
1
P
~
B
-
+
E
T
Z
1
E
P
~
D
-
ε
M
T
(
K
2
-
K
1
)
T
*
-
Q
k
k
-
E
T
Z
k
E
-
ε
N
T
(
K
2
-
K
1
)
T
*
*
-
2
ε
I
]
,
Φ
12
=
[
E
T
Z
1
E
+
Q
12
Q
13
⋯
Q
1
k
-
Q
1
k
T
⋯
-
Q
(
k
-
2
)
k
T
E
T
Z
k
E
-
Q
(
k
-
1
)
k
T
0
⋯
0
0
]
,
Π
1
=
P
~
A
-
+
A
-
T
P
~
+
Q
11
-
E
T
Z
1
E
,
P
~
=
E
T
P
+
S
R
T
,
Φ
22
=
[
Λ
1
Λ
-
1
Q
-
13
⋯
Q
-
1
(
k
-
1
)
*
Λ
2
Λ
-
2
⋯
⋮
*
*
⋱
⋱
Q
-
(
k
-
3
)
(
k
-
1
)
*
*
*
Λ
k
-
2
Λ
-
k
-
2
*
*
*
*
Λ
k
-
1
]
,
Q
-
i
j
=
Q
(
i
+
1
)
(
j
+
1
)
-
Q
i
j
,
Λ
i
=
-
E
T
Z
i
E
-
E
T
Z
i
+
1
E
+
Q
-
i
i
,
(
i
,
j
=
1,2
,
…
,
k
-
1
)
,
Λ
-
i
=
E
T
Z
i
+
1
E
+
Q
-
i
(
i
+
1
)
,
(
i
=
1,2
,
…
,
k
-
2
)
,
Φ
13
=
τ
Γ
T
∑
i
=
1
k
‍
Z
i
,
Φ
33
=
-
∑
i
=
1
k
‍
Z
i
,
Γ
=
[
A
-
B
-
D
]
and R
∈
ℝ
n
×
(
n
-
r
) is any matrix with full column rank and satisfying R
T
E
=
0.Proof.
Firstly, dividing the delayh into k equal segments, the length of each segment is denoted as τ; that is, τ
=
h
/
k. Choosing a Lyapunov-Krasovskii functional is as follows:
(12)
V
(
t
,
x
t
)
=
x
T
(
t
)
E
T
P
E
x
(
t
)
+
∫
t
-
τ
t
‍
ζ
1
T
(
s
)
Q
a
ζ
1
(
s
)
d
s
+
∑
i
=
1
k
‍
∫
-
i
τ
-
(
i
-
1
)
τ
‍
∫
t
+
θ
t
‍
τ
x
˙
T
(
s
)
E
T
Z
i
E
x
˙
(
s
)
d
s
d
θ
,
where
(13)
P
>
0
,
Q
a
=
[
Q
11
Q
12
⋯
Q
1
k
*
Q
22
⋯
Q
2
k
*
*
⋱
⋮
*
*
*
Q
k
k
]
≥
0
,
Z
i
>
0
,
(
i
=
1,2
,
…
,
k
)
are to be determinedand
ζ
1
(
t
)
=
[
x
T
(
t
)
x
T
(
t
-
τ
)
⋯
x
T
(
t
-
(
k
-
1
)
τ
)
]
T
.
Calculating the derivative of eachV
(
t
,
x
t
) along the solutions of system (8) yields(14)
V
˙
(
t
,
x
t
)
=
x
T
(
t
)
(
E
T
P
A
-
+
A
-
T
P
E
)
x
(
t
)
+
2
x
T
(
t
)
E
T
P
B
-
x
(
t
-
h
)
+
2
x
T
(
t
)
E
T
P
D
w
(
t
)
+
ζ
1
T
(
t
)
Q
a
ζ
1
(
t
)
-
ζ
1
T
(
t
-
τ
)
Q
a
ζ
1
(
t
-
τ
)
+
τ
2
x
˙
T
(
t
)
∑
i
=
1
k
‍
E
T
Z
i
E
x
˙
(
t
)
-
∑
i
=
1
k
‍
∫
t
-
i
τ
t
-
(
i
-
1
)
τ
‍
τ
x
˙
T
(
s
)
E
T
Z
i
E
x
˙
(
s
)
d
s
.
Let θ
=
-
∫
t
-
i
τ
t
-
(
i
-
1
)
τ
‍
τ
x
˙
T
(
s
)
E
T
Z
i
E
x
˙
(
s
)
d
s; using Lemma 4, we have
(15)
θ
≤
[
x
(
t
-
(
i
-
1
)
τ
)
x
(
t
-
i
τ
)
]
T
[
-
E
T
Z
i
E
E
T
Z
i
E
*
-
E
T
Z
i
E
]
×
[
x
(
t
-
(
i
-
1
)
)
τ
x
(
t
-
i
τ
)
]
.
From (1) and (2), for φ
(
t
,
z
(
t
)
)
∈
[
0
,
K
2
-
K
1
] and a scalar ε
>
0, it can be deduced that
(16)
0
≤
-
2
ε
w
T
(
t
)
w
(
t
)
-
2
ε
w
T
(
t
)
(
K
2
-
K
1
)
×
[
M
x
(
t
)
+
N
x
(
t
-
h
)
]
.
Noting that R
T
E
=
0, we can deduce
(17)
0
=
R
T
A
-
x
(
t
)
+
R
T
B
-
x
(
t
-
h
)
+
R
T
D
w
(
t
)
.
From (14)–(17), we get
(18)
V
˙
(
t
,
x
t
)
≤
ζ
T
(
t
)
[
Ψ
+
τ
2
Γ
-
T
∑
i
=
1
k
‍
Z
i
Γ
-
]
ζ
(
t
)
,
where
(19)
Ψ
=
[
Φ
11
Φ
12
*
Φ
22
]
,
Γ
-
=
[
A
-
B
-
D
0
]
ζ
(
t
)
=
[
x
T
(
t
)
x
T
(
t
-
h
)
w
T
(
t
)
ζ
2
T
(
t
)
]
T
,
ζ
2
T
(
t
)
=
[
x
T
(
t
-
τ
)
x
T
(
t
-
2
τ
)
⋯
x
T
(
t
-
(
k
-
1
)
τ
)
]
T
.
If Ψ
+
τ
2
Γ
-
T
∑
i
=
1
k
Z
i
Γ
-
<
0, which is equivalent to (10) by Schur complements [22], then V
˙
(
t
,
x
t
)
<
0 holds.
In what follows, we show that the nonlinear singular system (1) is regular and impulse-free. Since rank
⁡
E
=
r
≤
n, there exist two invertible matrices G and H
∈
ℝ
n
×
n such that
(20)
E
-
=
G
E
H
=
[
I
r
0
0
0
]
.
Then, R can be parameterized as
(21)
R
=
G
T
[
0
Φ
-
]
,
where Φ
-
∈
ℝ
(
n
-
r
)
×
(
n
-
r
) is any nonsingular matrix.
Like in (20), we define
(22)
A
-
=
G
A
H
=
[
A
-
11
A
-
12
A
-
21
A
-
22
]
,
P
-
=
G
-
T
P
G
-
1
=
[
P
-
11
P
-
12
P
-
21
P
-
22
]
,
Z
-
i
=
G
-
T
Z
i
G
-
1
=
[
Z
-
i
11
Z
-
i
12
Z
-
i
21
Z
-
i
22
]
,
(
i
=
1,2
,
…
,
k
)
,
S
-
=
H
T
S
=
[
S
-
11
S
-
21
]
,
R
-
=
G
-
T
R
=
[
0
Φ
-
]
.
SinceA
T
(
P
E
+
R
S
T
)
+
(
E
T
P
+
S
R
T
)
A
+
Q
11
-
E
T
Z
1
E
<
0 and Q
11
≥
0, we can formulate the following inequality easily:
(23)
ψ
=
A
T
(
P
E
+
R
S
T
)
+
(
E
T
P
+
S
R
T
)
A
-
E
T
Z
1
E
<
0
.
Pre- and postmultiplying ψ
<
0 by H
T and H, respectively, yield
(24)
ψ
-
=
H
T
ψ
H
=
A
-
T
P
-
E
-
+
A
-
T
R
-
S
-
T
+
E
-
T
P
-
A
-
+
S
-
R
-
T
A
-
-
E
-
T
Z
-
1
E
-
=
[
ψ
-
11
ψ
-
12
*
A
-
22
T
Φ
-
S
-
21
T
+
S
-
21
Φ
-
T
A
-
22
]
<
0
.
Asψ
-
11 and ψ
-
12 are irrelevant to the results of the following discussion, the expressions about these two variables are omitted here. It is easy to deduce from (24) that
(25)
A
-
22
T
Φ
-
S
-
21
T
+
S
-
21
Φ
-
T
A
-
22
<
0
and thus A
-
22 is nonsingular. Otherwise, supposing A
22 is singular, there must exist a nonzero vector ς
∈
ℝ
n
-
r which ensures that A
-
22
ς
=
0. And then it can be concluded that ς
T
(
A
-
22
T
Φ
-
S
-
21
T
+
S
-
21
Φ
-
T
A
-
22
)
ς
=
0, and this contradicts (25). So A
-
22 is nonsingular. Then, it can be shown that
(26)
det
⁡
(
s
E
-
A
)
=
det
⁡
(
G
-
1
)
det
⁡
(
s
E
-
-
A
-
)
det
⁡
(
H
-
1
)
=
det
⁡
(
G
-
1
)
det
⁡
(
-
A
-
22
)
×
det
⁡
(
s
I
r
-
(
A
-
11
-
A
-
12
A
-
22
-
1
A
-
21
)
)
det
⁡
(
H
-
1
)
which implies that det
⁡
(
s
E
-
A
) is not identically zero and deg
⁡
(
det
⁡
(
s
E
-
A
)
)
=
r
=
rank
⁡
E. Then, the pair of (
E
,
A
) is regular and impulse-free, which implies that system (1) is regular and impulse-free.
Definingξ
(
t
)
=
[
ξ
1
(
t
)
ξ
2
(
t
)
]
=
H
-
1
x
(
t
), then we have
(27)
λ
-
1
∥
ξ
1
(
t
)
∥
2
-
V
(
x
(
0
)
)
≤
ξ
T
(
t
)
E
-
T
P
-
E
-
ξ
(
t
)
-
V
(
x
(
0
)
)
=
x
T
(
t
)
E
T
P
E
x
(
t
)
-
V
(
x
(
0
)
)
≤
V
(
x
(
t
)
)
-
V
(
x
(
0
)
)
=
∫
0
t
‍
V
˙
(
x
(
s
)
)
d
s
≤
-
λ
-
2
∫
0
t
‍
∥
x
(
s
)
∥
2
d
s
≤
-
λ
-
2
∥
H
∥
2
∫
0
t
‍
∥
ξ
(
s
)
∥
2
d
s
,
where λ
-
1
=
λ
min
⁡
(
P
-
11
)
,
λ
-
2
=
-
λ
max
⁡
(
Φ
).
Taking into account (27), we can deduce that
(28)
λ
-
1
∥
ξ
1
(
t
)
∥
2
+
λ
-
2
∥
H
∥
2
∫
0
t
∥
ξ
(
s
)
∥
2
d
s
≤
V
(
x
(
0
)
)
‍
.
Noting that∥
x
(
t
)
∥ and ∫
0
t
‍
∥
x
(
s
)
∥
2
d
s are bounded, it follows that ∥
ξ
(
t
)
∥ and ∫
0
t
‍
∥
ξ
(
s
)
∥
2
d
s are bounded; from Lemma 3, one can conclude that lim
⁡
t
→
∞
⁡
ξ
(
t
)
=
0; thus lim
⁡
t
→
∞
⁡
x
(
t
)
=
0. According to Definition 2, the singular system (8) is globally uniformly asymptotically stable for φ
(
t
,
z
(
t
)
)
∈
[
0
,
K
2
-
K
1
]. Thus the singular system (8) is absolutely stable in the sector [
0
,
K
2
-
K
1
], which is equivalent to the absolute stability of system (1) in the sector [
K
1
,
K
2
]. This completes the proof.For uncertain system (3), substituting A
+
L
F
(
t
)
E
a and B
+
L
F
(
t
)
E
b for A and B in (10) and utilizing Lemma 5 and Schur complements [22], we have the following result.Theorem 7.
Given integerk and scalar τ
=
h
/
k
>
0, the system (3) with nonlinear connection function satisfying (2) and time-varying structured uncertainties satisfying (4) is robustly absolutely stable in the sector [
K
1
,
K
2
] if there exist scalars ε
>
0
,
λ
>
0, matrices
(29)
P
=
P
T
>
0
,
Q
a
=
[
Q
11
Q
12
⋯
Q
1
k
*
Q
22
⋯
Q
2
k
*
*
⋱
⋮
*
*
*
Q
k
k
]
≥
0
,
Z
i
=
Z
i
T
>
0
,
(
i
=
1,2
…
,
k
)
,
and a matrix S with appropriate dimensions, such that the following LMI holds:
(30)
[
Φ
11
Φ
12
Φ
13
P
^
L
λ
E
^
*
Φ
22
0
0
0
*
*
Φ
33
τ
∑
i
=
1
k
‍
Z
i
L
0
*
*
*
-
λ
I
0
*
*
*
*
-
λ
I
]
<
0
,
where
(31)
P
^
=
[
(
E
T
P
+
S
R
T
)
0
0
]
,
E
^
=
[
E
a
T
E
b
T
0
]
and R
∈
ℝ
n
×
(
n
-
r
) is any matrix with full column rank and satisfying R
T
E
=
0; Φ
11
,
Φ
12
,
Φ
13
,
Φ
22
,
Φ
33 are defined in Theorem 6.Remark 8.
It is worth mentioning that the conservatism is reduced with the increase ofk. At the same time, more matrix variables are involved in the corresponding LMI, which will increase the computing complexity.Remark 9.
In [5], some absolute stability conditions have been obtained for Lur’e system with time delay based on a delay-partitioning approach. However, the results proposed in this paper achieve some improvement and are more general than [5]. Let E
=
I, S
=
0, and Q
i
j
=
0
(
i
≠
j
) in (30); Theorem 7 reduces to Theorem 3 in [5].


## 4. Numerical Example

In this section, we provide a numerical example to demonstrate the effectiveness of the proposed method.Example 10.
Consider uncertain system (3) with the following parameters:
(32)
E
=
[
1
0
0
0
]
,
A
=
[
0.5
0
0
-
1
]
,
B
=
[
-
1.1
1
0
0.5
]
,
D
=
[
0.2
0
0
0.1
]
,
M
=
[
0.4
0
0
0.5
]
,
N
=
[
0.2
0
0
0.1
]
,
K
1
=
[
0.1
0
0
0.2
]
,
K
2
=
[
0.2
0
0
0.5
]
,
L
=
[
α
0
0
α
]
,
α
≥
0
,
E
a
=
E
b
=
[
0.1
0
0
0.1
]
.
In this example, we chooseR
=
[
0
1
]
T. For various α, the maximum upper bounds of time delay obtained by Theorem 7 are listed in Table 1 in comparison with those obtained by [16]. It is clear that our approach provides larger stability region than [16]. Furthermore, it is concluded from the table that larger upper bounds of h can be obtained as k increases.Table 1
Maximum upper bounds ofh.
α
0.15
0.5
1
1.5
2.5
3.5
[16, Theorem 3]
2.6556
2.3358
1.9489
1.6352
1.1780
0.8749
Theorem7, k
=
2
3.7209
3.2715
2.7269
2.2848
1.6396
1.2103
Theorem7, k
=
3
3.9351
3.4592
2.8824
2.4141
1.7303
1.2748
Theorem7, k
=
4
4.0114
3.5262
2.9379
2.4600
1.7625
1.2976


## 5. Conclusions

The absolute stability problem has been investigated for time delay singular systems with sector-bounded nonlinearity. Some improved conditions have been derived based on the delay-partitioning approach. A numerical example has been given to verify the effectiveness of the proposed methods.



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*Source: 927024-2014-04-02.xml*