文章基本信息

标题：Almost sure stability of the delayed Markovian jump RDNNs
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作者：Weiyuan Zhang ; Junmin Li
期刊名称：Advances in Difference Equations
印刷版ISSN：1687-1839
电子版ISSN：1687-1847
出版年度：2018
卷号：2018
期号：1
页码：248
DOI：10.1186/s13662-018-1685-9
语种：English
出版社：Hindawi Publishing Corporation
摘要：In this paper, we consider the almost sure stability of the delayed reaction–diffusion neural networks (RDNNs) with Markovian jump parameters and Dirichlet boundary conditions. By constructing new Lyapunov functional and utilizing some inequality techniques we give sufficient conditions ensuring the almost sure stability. The criteria can also ensure the almost sure global exponential stability when the input is equal to zero. Two numerical examples are given to demonstrate the effectiveness of the proposed approach.