Delay-dependent global stability results for delayed Hopfield neural networks

被引：41

作者：

Zhang, Qiang ^{[1
]}

Wei, Xiao Peng ^{[1
]}

Xu, Jin ^{[1
]}

机构：

[1] Dalian Univ Technol, Liaoning Key Lab Intelligent Informat Proc, Dalian 116622, Peoples R China

来源：

CHAOS SOLITONS & FRACTALS | 2007年 / 34卷 / 02期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1016/j.chaos.2006.03.073

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 and the linear matrix inequality approach, we analyze the global asymptotic stability of Hopfield neural networks with time delays. A new sufficient condition ensuring global asymptotic stability of the unique equilibrium point of delayed Hopfield neural networks is obtained. The result is related to the size of delays. A numerical example is given to illustrate the efficiency of our result. (C) 2006 Elsevier Ltd. All rights reserved.

引用

页码：662 / 668

页数：7

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