Estimates of equilibrium points and global asymptotic stability of Cohen-Grossberg neural networks with delays

被引：1
|
作者：
Qiu, Fang [1 ,2 ]
Cui, Baotong [1 ]
机构：
[1] Jiangnan Univ, Coll Commun & Control Engn, Wuxi 214122, Jiangsu, Peoples R China
[2] Binzhou Univ, Dept Math, Binzhou 256603, Shandong, Peoples R China
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2009年 / 40卷 / 12期
关键词：
Cohen-Grossberg neural network; global asymptotic stability; distributed delay; EXPONENTIAL STABILITY; ROBUST STABILITY; DYNAMICS; CRITERIA;
D O I：
10.1080/00207720903042913
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article studies a class of Cohen-Grossberg neural networks (CGNNs) with variable and distributed delays. Some novel conditions guaranteeing the existence, uniqueness and the estimated location of the equilibrium points are obtained. Using these results, the global asymptotic stability of the CGNNs can be derived without demanding the boundedness and the globally Lipschitz condition of the activation functions. Two numerical examples are demonstrated to verify the theoretical results.
引用
收藏
页码：1319 / 1328
页数：10
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