Anti-periodic solutions for shunting inhibitory cellular neural networks with time-varying delays

被引：90

作者：

Shao, Jianying ^{[1
]}

机构：

[1] Jiaxing Univ, Coll Math & Informat Engn, Jiaxing 314001, Zhejiang, Peoples R China

来源：

PHYSICS LETTERS A | 2008年 / 372卷 / 30期

关键词：

shunting inhibitory cellular neural networks; anti-periodic solution; exponential stability; time-varying delays;

D O I：

10.1016/j.physleta.2008.05.064

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This Letter is concerned with the existence and exponential stability of anti-periodic solutions for shunting inhibitory cellular neural networks (SICNNs) with time-varying delays arising from the description of the neurons' state in delayed neural networks. Some new sufficient conditions ensuring the existence and exponential stability of anti-periodic solutions for SICNNs are established. (c) 2008 Elsevier B.V. All rights reserved.

引用

页码：5011 / 5016

页数：6

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