Stability analysis of delayed cellular neural networks

被引：307

作者：

Cao, JD ^{[1
]}

Zhou, DM

机构：

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

[2] Yunnan Univ, Dept Elect & Informat Sci, Kunming 650091, Peoples R China

来源：

NEURAL NETWORKS | 1998年 / 11卷 / 09期

关键词：

cellular neural networks; Lyapunov functional; global asymptotic stability; delays;

D O I：

10.1016/S0893-6080(98)00080-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the problems of stability in a class of delayed cellular neural networks (DCNN) are studied; some new stability criteria are obtained by using the Lyapunov functional method and some analysis techniques. These criteria can be used to design globally stable networks and thus have important significance in both theory and application. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：1601 / 1605

页数：5

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