Exponential p -stability of Cohen-Grossberg Neural Networks with Time-delays and Impulses

被引：0
|
作者：
Qin Fajin [1 ]
Yao Xiaojie [1 ]
机构：
[1] Liuzhou Teachers Coll, Dept Math & Comp Sci, Liuzhou 545004, Guangxi, Peoples R China
来源：
2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年
关键词：
Cohen-Grossberg Neural Networks; Time-delays; Exponential p -stability; DIFFERENTIAL-EQUATIONS;
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：
In this paper, we consider a class of Cohen-Grossberg neural networks with time-delays and impulses. By using the properties of M -cone and differential inequality technique, criteria on the exponential p -stability of this model are derived, and the estimated exponential convergence rate is also obtained. The results of this paper are new and they supplement previously known results.
引用
收藏
页码：2716 / 2720
页数：5
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