Global exponential stability for impulsive cellular neural networks with time-varying delays

被引：79

作者：

Ahmad, Shair ^{[1
]}

Stamova, Ivanka M. ^{[2
]}

机构：

[1] Univ Texas San Antonio, Dept Math, San Antonio, TX 78249 USA

[2] Bourgas Free Univ, Burgas 8000, Bulgaria

来源：

NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS | 2008年 / 69卷 / 03期

关键词：

global exponential stability; impulsive cellular neural networks; delays; Lyapunov method;

D O I：

10.1016/j.na.2008.02.067

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we study the problem of global exponential stability for cellular neural networks (CNN) with time-varying delays and fixed moments of impulsive effect. We establish several stability criteria by employing Lyapunov functions and the Razumikhin technique. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：786 / 795

页数：10

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