Stability of delayed cellular neural networks

被引：28
作者：
Zhang, Qiang [1 ]
Wei, Xiaopeng
Xu, Jin
机构：
[1] Dalian Univ, Liaoning Key Lab Intelligent Informat Proc, Dalian 116622, Peoples R China
[2] Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2007年 / 31卷 / 02期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
D O I：
10.1016/j.chaos.2005.10.003
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Global asymptotic stability and exponential stability of delayed cellular neural networks is considered in this paper. Based on the Lyapunov stability theorem as well as a fact about the elemental inequality, some new sufficient conditions are given for global asymptotic stability and exponential stability of delayed cellular neural networks. The results are less conservative than those established in the earlier references. Three examples are given to illustrate the applicability of these conditions. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：514 / 520
页数：7
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