Global eponential stability of cellular neural networks with time-varying coefficients and delays

被引：89

作者：

Jiang, HJ ^{[1
]}

Teng, ZD ^{[1
]}

机构：

[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China

来源：

NEURAL NETWORKS | 2004年 / 17卷 / 10期

基金：

中国国家自然科学基金;

关键词：

global exponential stability; Liapunov functional; time-varying coefficient; time-varying delay; cellular neural network;

D O I：

10.1016/j.neunet.2004.03.002

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, a class of cellular neural networks with time-varying coefficients and delays is considered. By constructing a suitable Liapunov functional and utilizing the technique of matrix analysis, some new sufficient conditions on the global exponential stability of solutions are obtained. The results obtained in this paper improve and extend some of the previous results. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：1415 / 1425

页数：11

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