Stationary oscillation for cellular neural networks with time delays and impulses

被引：8
|
作者：
Zhang, Yinping [1 ]
机构：
[1] Tongji Univ, Dept Math, Shanghai 200092, Peoples R China
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 2009年 / 79卷 / 10期
关键词：
Recurrent cellular neural networks; Periodic solution; Global stability; Delay; Impulse; EXPONENTIAL STABILITY; PERIODIC-SOLUTION; EXISTENCE;
D O I：
10.1016/j.matcom.2009.03.009
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper studies stationary oscillation for it time-varying recurrent cellular neural network with time delays and impulses. In a recent paper, the authors claim that they obtain a criterion of existence, uniqueness, and global exponential stability of periodic solution (i.e. stationary oscillation) for a recurrent cellular neural network with time delays and impulses. We point out that the main result of their paper is incorrect, and present a sufficient condition of stationary oscillation fora time-varying recurrent cellular neural networks with time delays and impulses. An numerical example is given to illustrate the effectiveness of the obtained result. (C) 2009 IMACS. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码：3174 / 3178
页数：5
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