Novel stalbiliy analysis of high-order Cohen-Grossberg neural networks with time-varying delays

被引：0
|
作者：
Ji Yan [1 ]
Cui Baotong [1 ]
机构：
[1] Southern Yangtze Univ, Sch Commun & Control Engn, 1800 Lihu Rd, Wuxi 214122, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 4 | 2007年
基金：
中国国家自然科学基金;
关键词：
high-order Cohen-Grossberg neural networks; time-varying delays; stability;
D O I：
暂无
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 paper addresses global asymptotic stability and global exponential stability for high-order Cohen-Grossberg neural networks with time-varying delays. Some novel global stability criteria of the system is derived by using the method of Lyapunov functions and linear matrix inequality(LMI). An example is given to illustrate the effectiveness of our results.
引用
收藏
页码：176 / +
页数：2
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