Exponential Stability of Impulsive Hopfield Neural Networks with Time Delays

被引：0
|
作者：
Xing, Tingyan [1 ]
Shi, Muyao [1 ]
Jiang, Wenjie [1 ]
Zhang, Nan [1 ]
Wang, Tuo [1 ]
机构：
[1] China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 1, PROCEEDINGS | 2009年 / 5551卷
关键词：
GLOBAL ASYMPTOTIC STABILITY;
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 considers the problems of global exponential stability and exponential convergence, rate for impulsive Hopfield neural networks with time delays. By using the method of Lyapunov functions M-matrix theory and inequality technique! some sufficient conditions for ensuring global exponential stability of these networks are derived.;and the estimation for exponential convergence rate index is also obtained. As an illustration, an numerical example is worked out to show the effectiveness of Hie obtained results.
引用
收藏
页码：503 / 511
页数：9
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