On synchronization of memristive neural networks with cooperative and competitive interactions

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

Abstract

In this paper, the synchronization issue of memristive neural networks with cooperative and competitive interactions is examined. With a signed graph used to describe coopetition networks, variable substitution is appropriately introduced to convert the equations describing the inertia memristive neural networks (IMNNs) into the first-order differential equations. Then a discontinuous controller is adequately constructed to derive the bipartite synchronization criterion for coupled IMNNs over coopetition networks. Lastly, the validity of the proposed bipartite synchronization criterion is demonstrated by a numerical example.
Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Virtual Conference, October 10-21, 2020
PublisherIEEE
Number of pages5
ISBN (Print)9781728133201
DOIs
Publication statusPublished - 2020
EventIEEE International Symposium on Circuits and Systems -
Duration: 10 Oct 2020 → …

Publication series

Name
ISSN (Print)2158-1525

Conference

ConferenceIEEE International Symposium on Circuits and Systems
Period10/10/20 → …

Keywords

  • synchronization
  • neural networks (computer science)

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