Existence and exponential stability of anti-periodic solutions of Hopfield neural networks with impulses

被引：56

作者：

Shi, Peilin ^{[1
]}

Dong, Lingzhen ^{[1
]}

机构：

[1] Taiyuan Univ Technol, Taiyuan 030024, Shanxi, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2010年 / 216卷 / 02期

关键词：

Hopfield neural networks; Anti-periodic solutions; Impulses; Exponential stability; PERIODIC-SOLUTIONS; EQUATIONS;

D O I：

10.1016/j.amc.2010.01.095

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper we investigate a class of Hopfield neural networks subject to periodic impulses. First we give sufficient conditions to ensure existence and exponential stability of the anti-periodic solutions, which are new and complementary to previously known results. Then we present an example to demonstrate our results. (C) 2010 Elsevier Inc. All rights reserved.

引用

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页码：623 / 630

页数：8

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