Global stability analysis in delayed cellular neural networks

被引：129

作者：

Cao, JD ^{[1
]}

机构：

[1] Yunnan Univ, Adult Educ Coll, Kunming 650091, Peoples R China

来源：

PHYSICAL REVIEW E | 1999年 / 59卷 / 05期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1103/PhysRevE.59.5940

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

In this paper, the author analyzes further problems of global stability for a class of cellular neural networks with delays by means of the Lyapunov functional method, inequalities a(2)+b(2)greater than or equal to 2ab and a(3)+b(3)+c(3) greater than or equal to 3abc (a,b,c greater than or equal to 0) analysis technique, some stability criteria are obtained under more general conditions. These criteria can be applied to design globally stable networks and thus have important significance in both theory and applications. [S1063-651X(99)04605-X].

引用

页码：5940 / 5944

页数：5

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