Stability analysis of multiple equilibria for recurrent neural networks with time-varying delays

Zhigang Zeng, Wei Xing Zheng

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    Abstract

    The problem of stability of multiple equilibria is studied in this paper for two kinds of recurrent neural networks with time-varying delays and activation functions symmetrical with respect to the origin on the phase plane. Some sufficient conditions are obtained to ensure that two kinds of recurrent neural networks can have (2m + 1)n equilibrium points and (m + 1)n of them are locally exponentially stable. The derived conditions are valuable extensions to the existing results on stability of multiple equilibria for recurrent neural networks with time-varying delays in the literature.
    Original languageEnglish
    Title of host publicationProceedings of the 2013 IEEE International Symposium on Circuits and Systems, 19-23 May 2013, Beijing, China
    PublisherIEEE
    Pages2099-2102
    Number of pages4
    ISBN (Print)9781467357609
    DOIs
    Publication statusPublished - 2013
    EventIEEE International Symposium on Circuits and Systems -
    Duration: 19 May 2013 → …

    Publication series

    Name
    ISSN (Print)0271-4302

    Conference

    ConferenceIEEE International Symposium on Circuits and Systems
    Period19/05/13 → …

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