文献类型：期刊文献

英文题名：Mean square stability of periodic solution for stochastic Cohen-Grossberg-type BAM neural networks with delays

作者：Miao, Chunfang[1]; Ke, Yunquan[1]

机构：[1] Shaoxing University, Department of Mathematics, Shaoxing[312000], China

年份：2012

卷号：11

期号：9

起止页码：731

外文期刊名：WSEAS Transactions on Mathematics

收录：EI(收录号：20130415931295)、Scopus(收录号：2-s2.0-84872449940)

语种：英文

外文关键词：Lyapunov functions - Mapping - Stochastic systems

外文摘要：In this paper, the mean square exponential stability of the periodic solution of stochastic CohenGrossberg-Type BAM neural networks with delays are investigated. By constructing suitable Lyapunov function, applying Ito? formula, integral mean-value theorem and Poincare′ mapping, we give several sufficient conditions to guarantee the mean square exponential stability of the periodic solution of the system. An illustrative example is also given in the end to show the effectiveness of our results.