Less conservative robust absolute stability criteria for uncertain neutral-type Lur'e systems with time-varying delays

被引:37
|
作者
Wang, Yantao [1 ]
Xue, Yu [1 ]
Zhang, Xian [1 ]
机构
[1] Heilongjiang Univ, Sch Math Sci, Harbin 150080, Peoples R China
基金
中国国家自然科学基金;
关键词
MASTER-SLAVE SYNCHRONIZATION; NEURAL-NETWORKS; STABILIZATION; DISCRETE; MODEL;
D O I
10.1016/j.jfranklin.2016.01.001
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper focuses on robust absolute stability analysis for uncertain neutral-type Lur'e systems with time-varying delays. New delay-dependent and delay-rate-dependent stability criteria in terms of linear matrix inequalities (LMIs) are established by: (i) utilizing fully the information of delays to construct Lyapunov-Krasovskii functional (LKF) and augmented vectors; (ii) employing improved integral inequalities to estimate the derivative of LKF; and (iii) using the so-called reciprocally convex combination approach and convex combination approach simultaneously. The main contribution of the present result is to reduce conservativeness of previous results in the LMI framework. Several numerical examples are carried out to demonstrate the effectiveness and merits of the present result. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:816 / 833
页数:18
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