Global exponential stability of Cohen-Grossberg neural networks with time-varying delays

被引：36

作者：

Liu, J ^{[1
]}

机构：

[1] Xuzhou Normal Univ, Dept Math, Xuzhou 221116, Peoples R China

来源：

CHAOS SOLITONS & FRACTALS | 2005年 / 26卷 / 03期

关键词：

D O I：

10.1016/j.chaos.2005.01.062

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

The global exponential stability of the equilibrium point of Cohen-Grossberg neural networks with time-varying delay, is first investigated, Furthermore, some sufficient conditions for existence and uniqueness of equilibrium and global exponential stability of the time-varying delayed Cohen-Grossberg neural networks are obtained by using the topological degree theory, M-matrix, Lyaptunov functional method and some analysis techniques. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：935 / 945

页数：11

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