Global exponential stability and periodic solutions of cellular neural networks with delay

被引:18
作者
Fang, H [1 ]
Li, JB [1 ]
机构
[1] Kunming Univ Sci & Technol, Ctr Nonlinear Sci Studies, Kunming 650093, Peoples R China
来源
PHYSICAL REVIEW E | 2000年 / 61卷 / 04期
关键词
D O I
10.1103/PhysRevE.61.4212
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
In this paper, some sufficient conditions for the global exponential stability and the existence of periodic solutions of cellular neural networks with delay (DCNN) model are obtained by means of a Lyapunov functional approach. These conditions can be used to design globally stable DCNN's and periodic oscillatory DCNN's and thus have important significance in both theory and applications.
引用
收藏
页码:4212 / 4217
页数:6
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