On pth moment exponential stability of stochastic fuzzy cellular neural networks with time-varying delays and impulses

被引：9
|
作者：
Xiong, Peiying [1 ,2 ]
Huang, Lihong [1 ]
机构：
[1] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
[2] Hunan City Univ, Coll Math & Comp Sci, Yiyang 413000, Hunan, Peoples R China
来源：
ADVANCES IN DIFFERENCE EQUATIONS | 2013年
基金：
中国国家自然科学基金;
关键词：
GLOBAL STABILITY; DYNAMIC-ANALYSIS; SYSTEMS;
D O I：
10.1186/1687-1847-2013-172
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper is concerned with the pth moment exponential stability of fuzzy cellular neural networks with time-varying delays under impulsive perturbations and stochastic noises. Based on the Lyapunov function, stochastic analysis and differential inequality technique, a set of novel sufficient conditions on pth moment exponential stability of the system are derived. These results generalize and improve some of the existing ones. Moreover, an illustrative example is given to demonstrate the effectiveness of the results obtained.
引用
收藏
页数：11
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