Anti-periodic solutions for BAM neural networks with time delays

被引：29

作者：

Wei, Xuerui ^{[1
,2
]}

Qiu, Zhipeng ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Dept Appl Math, Nanjing 210094, Jiangsu, Peoples R China

[2] Shaoxing Univ, Dept Math, Hangzhou 312000, Zhejiang, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2013年 / 221卷

关键词：

Anti-periodic solution; BAM neural networks; Fundamental solution matrix; Exponential stability; Time delay; EXPONENTIAL STABILITY; EXISTENCE;

D O I：

10.1016/j.amc.2013.06.063

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In the paper, bidirectional associative memory neural networks with time delays are studied. By using the fundamental solution matrix of coefficients and Lyapunow function, sufficient conditions are obtained for the existence and global exponential stability of the anti-periodic solution of the model. An example and numerical simulations are also given to illustrate the theoretical results. (C) 2013 Elsevier Inc. All rights reserved.

引用

页码：221 / 229

页数：9

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