New stability conditions for neural networks with constant and variable delays

被引：26
|
作者：
Zhang, Q [1 ]
Wei, XP [1 ]
Xu, J [1 ]
机构：
[1] Dalian Univ, Univ Key Lab Informat Sci & Engn, Dalian 116622, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2005年 / 26卷 / 05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.2005.04.008
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, by utilizing Lyapunov functional method, we analyze global asymptotic stability of neural networks with constant delays. A new sufficient condition ensuring global asymptotic stability of the unique equilibrium point of delayed neural networks is obtained. Furthermore, based on the method of delay differential inequality, the conditions checking global exponential stability of the equilibrium point of neural networks with variable delays are given. The results extend and improve the earlier publications. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1391 / 1398
页数：8
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