Existence and exponential stability of periodic solutions for cellular neural networks with time-varying delays

被引：31

作者：

Liu, BW ^{[1
]}

Huang, LH

机构：

[1] Hunan Univ Arts & Sci, Dept Math, Changde 415000, Hunan, Peoples R China

[2] Hunan Univ, Coll Math & Econometr, Changsha 410082, Peoples R China

来源：

PHYSICS LETTERS A | 2006年 / 349卷 / 06期

基金：

中国国家自然科学基金;

关键词：

cellular neural networks; periodic solution; exponential stability; coincidence degree theory; time-varying delays;

D O I：

10.1016/j.physleta.2005.09.064

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this Letter cellular neural networks with time-varying delays are considered. Sufficient conditions for the existence and exponential stability of the periodic solutions are established by using the coincidence degree theorem and differential inequality technique. The results of this Letter are new and they complement previously known results. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：474 / 483

页数：10

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