EXPONENTIAL STABILITY OF STOCHASTIC FUZZY CELLULAR NEURAL NETWORKS WITH DISTRIBUTED DELAYS

被引：1
|
作者：
Chen, Liping [1 ]
Wu, Ranchao [1 ]
机构：
[1] Anhui Univ, Sch Math, Hefei 230039, Peoples R China
来源：
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2009年 / 19卷 / 10期
关键词：
Almost sure exponential stability; mean square exponential stability; stochastic fuzzy cellular neural networks; distributed delays; GLOBAL ASYMPTOTIC STABILITY; DISCRETE;
D O I：
10.1142/S0218127409024827
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The exponential stability of a class of stochastic fuzzy cellular neural networks with distributed delays is investigated in this paper. By using analytic methods such as Lyapunov functional, Ito's formula, inequality techniques and non-negative semimartingale convergence theorem, the sufficient conditions guaranteeing the almost sure and mean square exponential stability of its equilibrium solution are respectively obtained. For illustration, an example is given to show the feasibility of results.
引用
收藏
页码：3387 / 3395
页数：9
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