Globally Exponential Stability for Stochastic Delayed Neural Networks Under Impulsive Control

被引：1
|
作者：
Li, Xiao-ai [1 ]
Zou, Jie-zhong [1 ]
机构：
[1] Cent S Univ, Sch Math Sci & Comp Technol, Changsha 410007, Hunan, Peoples R China
来源：
CEIS 2011 | 2011年 / 15卷
关键词：
stochastic neural networks; impulsive control; time-varying delays; globally exponential stability;
D O I：
10.1016/j.proeng.2011.08.074
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, the dynamic behaviors of a class of stochastic neural networks with time-varying delays and fixed moments of impulsive effect are considered. A new sufficient condition has been presented ensuring the global exponential stability for the equilibrium point by using Lyapunov functional method, stochastic theory and inequality technique. The results established here extend those given previously in the literatures. Finally, an example with simulation is given to show the effectiveness of the obtained results. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
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页数：6
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