文章基本信息

标题：Adaptive almost surely asymptotically synchronization for stochastic delayed neural networks with Markovian switching
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作者：Xiangwu Ding ; Yan Gao ; Wuneng Zhou 等
期刊名称：Advances in Difference Equations
印刷版ISSN：1687-1839
电子版ISSN：1687-1847
出版年度：2013
卷号：2013
期号：1
页码：211
DOI：10.1186/1687-1847-2013-211
语种：English
出版社：Hindawi Publishing Corporation
摘要：In this paper, the problem of the adaptive almost surely asymptotically synchronization for stochastic delayed neural networks with Markovian switching is considered. By utilizing a new nonnegative function and the M-matrix approach, we derive a sufficient condition to ensure adaptive almost surely asymptotically synchronization for stochastic delayed neural networks. Some appropriate parameters analysis and update laws are found via the adaptive feedback control techniques. We also present an illustrative numerical example to demonstrate the effectiveness of the M-matrix-based synchronization condition derived in this paper.
关键词：neutral networks ; adaptive almost surely asymptotically synchronization ; Markovian switching ; stochastic noise ; time-varying delays