Exponential stability of Hopfield neural networks with time-varying delays via impulsive control

被引:10
|
作者
Li, Xiaodi [1 ]
机构
[1] Xiamen Univ, Sch Math Sci, Xiamen 361005, Peoples R China
关键词
Hopfield neural networks; time-varying delays; Lyapunov method; impulsive control; ASYMPTOTIC STABILITY; GLOBAL STABILITY; STABILIZATION; SYSTEMS;
D O I
10.1002/mma.1278
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, by utilizing the Lyapunov functionals, the analysis method and the impulsive control, we analyze the exponential stability of Hopfield neural networks with time-varying delays. A new criterion on the exponential stabilization by impulses and the exponential stabilization by periodic impulses is gained. We can see that impulses do contribution to the system's exponential stability. Two examples are given to illustrate the effectiveness of our result. Copyright (C) 2010 John Wiley & Sons, Ltd.
引用
收藏
页码:1596 / 1604
页数:9
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