Title of article
Existence and global -exponential stability of periodic solution for impulsive stochastic neural networks with delays
Author/Authors
Li، نويسنده , , Dingshi and Wang، نويسنده , , Xiaohu and Xu، نويسنده , , Daoyi، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2012
Pages
12
From page
847
To page
858
Abstract
In this paper, we consider a class of impulsive stochastic neural networks with delays. By establishing new integral inequalities and using the properties of spectral radius of nonnegative matrix, some sufficient conditions for the existence and global p -exponential stability of periodic solution for impulsive stochastic neural networks with delays are given. Our results imply that under the appropriate linear periodic impulsive perturbations, the impulsive stochastic neural networks with delays preserve the original periodic property of the nonimpulsive stochastic neural networks with delays. An example is provided to show the effectiveness of the theoretical results.
Keywords
Periodic Solution , impulsive , DELAY , Stochastic , NEURAL NETWORKS
Journal title
Nonlinear Analysis Hybrid Systems
Serial Year
2012
Journal title
Nonlinear Analysis Hybrid Systems
Record number
1602562
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