Global asymptotic stability of bi-directional associative memory networks with distributed delays

被引：69

作者：

Liang, JL ^{[1
]}

Cao, JD ^{[1
]}

机构：

[1] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2004年 / 152卷 / 02期

关键词：

Young inequality; Lyapunov functional; bi-directional associative memory (BAM); distributed delays; global asymptotic stability;

D O I：

10.1016/S0096-3003(03)00567-8

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, several sufficient conditions are derived for the global asymptotic stability in bi-directional associative memory (BAM) networks with distributed delays by constructing suitable Lyapunov functional and the Young inequality technique. These conditions have an important leading significance in the design and applications of globally asymptotically stable neural circuits for BAM with distributed delays. (C) 2003 Elsevier Inc. All rights reserved.

引用

页码：415 / 424

页数：10

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