Global exponential stability of delayed impulsive Hopfield type neural networks

被引：0
|
作者：
Xu, BJ [1 ]
Wang, Q
Shen, Y
Liao, XX
机构：
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Hubei, Peoples R China
[2] China Univ Geosci, Coll Informat Engn, Beijing 100083, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS | 2005年 / 3496卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigate the problems of global exponential stability and exponential convergence rate for delayed impulsive Hopfield type neural networks. By using the method of Lyapunov functions, some sufficient conditions for ensuring global exponential stability of these networks are derived, and the estimate of exponential convergence rate is also obtained. A numerical example is worked out to illustrate the obtained results.
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页码：181 / 186
页数：6
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