Novel robust stability criteria for interval-delayed Hopfield neural networks

被引：207

作者：

Liao, XF ^{[1
]}

Wong, KW

Wu, ZF

Chen, GR

机构：

[1] Chongqing Univ, Dept Comp Sci & Engn, Chongqing 400044, Peoples R China

[2] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | 2001年 / 48卷 / 11期

关键词：

interval Hopfield neural networks; Lyapunov functionals; robust stability; time delays;

D O I：

10.1109/81.964428

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, some novel criteria for the global robust stability of a class of interval Hopfield neural networks with constant delays are given. Based on several new Lyapunov functionals, delay-independent criteria are provided to guarantee the global robust stability of such systems. For conventional Hopfield neural networks with constant delays, some new criteria for their global asymptotic stability are also easily obtained. All the results obtained are generalizations of some recent results reported in the literature for neural networks with constant delays. Numerical examples are also given to show the correctness of our analysis.

引用

页码：1355 / 1359

页数：5

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