Stochastic stability of impulsive BAM neural networks with time delays

被引：15
|
作者：
Li, Chuandong [1 ]
Hu, Wenfeng [1 ]
Wu, Sichao [1 ]
机构：
[1] Chongqing Univ, Dept Comp, Chongqing 400044, Peoples R China
来源：
COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2011年 / 61卷 / 08期
关键词：
BAM neural networks; Stochastic stability; Impulse; Time delay; BIDIRECTIONAL ASSOCIATIVE MEMORIES; EXPONENTIAL STABILITY; ROBUST STABILITY;
D O I：
10.1016/j.camwa.2010.09.066
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The problem of stability analysis of stochastic BAM neural networks with time delays and impulse effects is investigated in this paper. Using the Lyapunov technique and the generalized Hanalay inequality, we characterize theoretically the aggregated effects of impulse and stability properties of the impulse-free version. The present approaches allow us to estimate the feasible upper bounds of impulse strengths and can also extend to the more general impulsive nonlinear systems with delays. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2313 / 2316
页数：4
相关论文
共 50 条
12345