The p th moment exponential stability of stochastic cellular neural networks with impulses

被引：0
|
作者：
Xiaoai Li
Jiezhong Zou
Enwen Zhu
机构：
[1] Central South University,School of Mathematics and Statistics
[2] Changsha University of Science and Technology,School of Mathematics and Computational Science
来源：
Advances in Difference Equations | / 2013卷
关键词：
th moment exponentially stable; stochastic cellular neural network; impulses; Razumikhin theory;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper studies the p th moment exponential stability of stochastic cellular neural networks with time-varying delays under impulsive perturbations. Based on the Lyapunov function, Razumikhin theory, stochastic analysis and differential inequality technique, criteria on the p th moment exponential stability of this model are derived. These results generalize and improve some of the existing ones. A numerical example illustrates the effectiveness and improvements of our results.
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