文献类型：期刊文献

英文题名：Stability analysis of periodic solutions for stochastic reaction-diffusion high-order Cohen-Grossberg-Type BAM neural networks with delays

作者：Ke, Yunquan[1]; Miao, Chunfang[1]

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

年份：2011

卷号：10

期号：9

起止页码：310

外文期刊名：WSEAS Transactions on Mathematics

收录：EI(收录号：20114414472679)、Scopus(收录号：2-s2.0-80055001163)

语种：英文

外文关键词：Diffusion in liquids - Exponential functions - Lyapunov functions - Problem solving - Stochastic systems

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