Anti-periodic solutions for a class of Cohen-Grossberg neural networks

被引：35
作者：
Gong, Shuhua [1 ]
机构：
[1] Jiaxing Univ, Coll Math & Informat Engn, Jiaxing 314001, Zhejiang, Peoples R China
来源：
COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2009年 / 58卷 / 02期
关键词：
Cohen-Grossberg neural networks; Anti-periodic; Exponential stability; Delays; EXPONENTIAL STABILITY; DELAYS; EQUATIONS; CRITERIA;
D O I：
10.1016/j.camwa.2009.03.105
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, Cohen-Grossberg neural networks (CGNNs) with delays are considered. Some new sufficient conditions for the existence and exponential stability of anti-periodic solutions are established. (c) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：341 / 347
页数：7
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