Global stability of bidirectional associative memory neural networks with continuously distributed delays

被引：14

作者：

Zhang, Q ^{[1
]}

Ma, RN

Xu, J

机构：

[1] Xidian Univ, Inst Elect Engn, Xian 710071, Peoples R China

[2] Huazhong Univ Sci & Technol, Inst Syst Engn, Wuhan 430074, Peoples R China

来源：

SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES | 2003年 / 46卷 / 05期

关键词：

global asymptotic stability; bidirectional associative memory neural networks; continuously distributed delays;

D O I：

10.1360/02ye0549

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Global asymptotic stability of the equilibrium point of bidirectional associative memory (BAM) neural networks with continuously distributed delays is studied. Under two mild assumptions on the activation functions, two sufficient conditions ensuring global stability of such networks are derived by utilizing Lyapunov functional and some inequality analysis technique. The results here extend some previous results. A numerical example is given showing the validity of our method.

引用

页码：327 / 334

页数：8

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