Stability Analysis for Impulsive Stochastic Reaction-Diffusion Differential System and Its Application to Neural Networks

被引：2

作者：

Du, Yanke ^{[1
]}

Li, Yanlu ^{[2
]}

Xu, Rui ^{[1
]}

机构：

[1] Shijiazhuang Mech Engn Coll, Inst Appl Math, Shijiazhuang 050003, Peoples R China

[2] Shijiazhuang Mech Engn Coll, Training Dept, Shijiazhuang 050003, Peoples R China

来源：

JOURNAL OF APPLIED MATHEMATICS | 2013年

基金：

中国国家自然科学基金;

关键词：

TIME-VARYING DELAYS; GLOBAL EXPONENTIAL STABILITY; DISTRIBUTED DELAYS; DYNAMICAL BEHAVIORS; MIXED DELAYS; TERMS; SYNCHRONIZATION; EXISTENCE; EQUATIONS;

D O I：

10.1155/2013/785141

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper is concerned with the stability of impulsive stochastic reaction-diffusion differential systems with mixed time delays. First, an equivalent relation between the solution of a stochastic reaction-diffusion differential system with time delays and impulsive effects and that of corresponding system without impulses is established. Then, some stability criteria for the stochastic reaction-diffusion differential system with time delays and impulsive effects are derived. Finally, the stability criteria are applied to impulsive stochastic reaction-diffusion Cohen-Grossberg neural networks with mixed time delays, and sufficient conditions are obtained for the exponential p-stability of the zero solution to the neural networks. An example is given to illustrate the effectiveness of our theoretical results. The systems we studied in this paper are more general, and some existing results are improved and extended.

引用

页数：12

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