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

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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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