Attraction for Stochastic Cellular Neural Networks

被引：0
|
作者：
Wan, Li [1 ]
Zhou, Qinghua [2 ]
机构：
[1] Wuhan Text Univ, Dept Math & Phys, Wuhan 430073, Peoples R China
[2] Zhaoqing Univ, Zhaoqing 526061, Peoples R China
来源：
ADVANCED RESEARCH ON COMPUTER EDUCATION, SIMULATION AND MODELING, PT I | 2011年 / 175卷
基金：
中国国家自然科学基金;
关键词：
Stochastic cellular neural networks; Weak attractor; Delays; TIME-VARYING DELAYS; SQUARE EXPONENTIAL STABILITY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The aim of this paper is to establish new results and sufficient criteria on weak attractor for stochastic cellular neural networks with delays. By using Lyapunov method and Lasalle-type theorem, sufficient conditions ensuring the weak attractor for stochastic cellular neural networks are established. The almost surely asymptotic stability is a special case of our results. Our criteria are easily tested by Mat lab LMI Toolbox. An example is given to demonstrate our results.
引用
收藏
页码：418 / +
页数：3
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