Exponential stability for uncertain cellular neural networks with discrete and distributed time-varying delays

被引：39
|
作者：
Kwon, O. M. [1 ]
Park, Ju H. [2 ]
机构：
[1] Chungbuk Natl Univ, Sch Elect & Comp Engn, Cheongju 361763, South Korea
[2] Yeungnam Univ, Dept Elect Engn, Robust Control & Nonlinear Dynam Lab, Kyongsan 712749, South Korea
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2008年 / 203卷 / 02期
关键词：
exponential stability; LMI; Lyapunov method; neural networks; time-varying delays;
D O I：
10.1016/j.amc.2008.05.091
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, the problem of exponential stability of uncertain cellular neural networks with discrete and distribute time-varying delays is considered. Based on the Lyapunov function method and convex optimization approach, a new delay-dependent stability criterion with an exponential convergence rate is derived in terms of LMI (linear matrix inequality). Three numerical examples are given to show the effectiveness of the proposed methods. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码：813 / 823
页数：11
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