New results concerning exponential stability and periodic solutions of delayed cellular neural networks

被引：274

作者：

Cao, JD ^{[1
]}

机构：

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

来源：

PHYSICS LETTERS A | 2003年 / 307卷 / 2-3期

关键词：

Young inequality; Lyapunov functional; cellular neural networks; global exponential stability; periodic solution;

D O I：

10.1016/S0375-9601(02)01720-6

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Employing Young inequality firstly and general Lyapunov functional, the author studies further global exponential stability and the existence of periodic solutions of cellular neural networks with delays in this Letter. A family of simple sufficient conditions is given for checking global exponential stability and the existence of periodic solutions of cellular neural networks with delays. The results extend and improve the earlier publications (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：136 / 147

页数：12

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