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论文类型：期刊论文

发表时间：2018-01-31

发表刊物：NEUROCOMPUTING

收录刊物：SCIE、EI、Scopus

卷号：275

页面范围：2565-2573

ISSN号：0925-2312

关键字：Switched impulsive memristive neural networks; Input-to-state stability; Multiple Lyapunov functions

摘要：This paper is concerned with the problem of input-to-state stability (ISS) for a class of switched impulsive memristive neural networks with stochastic disturbance. Based on the multiple Lyapunov functions method and comparison principle, new stability results for such kind of systems are derived. The cases that all subsystems are unstable and both stable/unstable subsystems coexist are considered, respectively. Time-varying delays are taken into account in the stability analysis. The mean-square ISS delay-independent sufficient conditions are presented. Finally, numerical examples are given to illustrate the effectiveness of the proposed method. (c) 2017 Elsevier B.V. All rights reserved.