An estimation of upperbound of delays for global asymptotic stability of delayed Hopfield neural networks

被引：64

作者：

Chen, AP

Cao, JD ^{[2
]}

Huang, LH

机构：

[1] Chenzhou Teachers Coll, Dept Math, ChenZhou 423000, Hunan, Peoples R China

[2] SE Univ, Dept Appl Math, Nanjing 210096, Jiangsu, Peoples R China

[3] Chinese Univ Hong Kong, Dept Automat & Comp Aided Engn, Hong Kong, Hong Kong, Peoples R China

[4] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 2002年 / 49卷 / 07期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1109/TCSI.2002.800841

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：

This paper provides an upperbound of delays for the global asymptotic stability of the equilibrium of Hopfield neural networks with transmission delays. Such a bound has important significance in both theory and application for the design of the globally stable networks. An example is also given to illustrate that the conditions of our result are feasible.

引用

页码：1028 / 1032

页数：5

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