On global exponential stability of delayed cellular neural networks with time-varying delays

被引：62
作者：
Zhang, Q [1 ]
Wei, XP
Xu, J
机构：
[1] Dalian Univ Technol, Adv Design Technol Ctr, Dalian 116622, Peoples R China
[2] Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2005年 / 162卷 / 02期
基金：
中国国家自然科学基金;
关键词：
global exponential stability; cellular neural networks; time-varying delays; delay differential inequality; Lyapunov functionals;
D O I：
10.1016/j.amc.2004.01.004
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A new Sufficient condition has been presented ensuring the global exponential stability of cellular neural networks with time-varying delays by using an approach based on delay differential inequality combining with Young inequality. The results established here extend those earlier given in the literature. Compared with the method of Lyapunov functionals as in most previous studies, our method is simpler and more effective for stability analysis. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码：679 / 686
页数：8
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