Global exponential stability and periodic solutions of delay Hopfield neural networks

被引：81

作者：

Yi, Z

机构：

[1] Department of Mathematics, University of Electronic Science and Technology of China, Chengdu

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 1996年 / 27卷 / 02期

关键词：

D O I：

10.1080/00207729608929208

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Both global exponential stability and periodic solutions of delay Hopfield neural networks are analysed via the method of constructing suitable Lyapunov functionals. Simple sufficient conditions are given for global exponential stability and the existence of periodic solutions. The conditions are presented in terms of the parameters of the connection matrix, and they are easy to check and apply in practice.

引用

页码：227 / 231

页数：5

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