Event-triggered communication for passivity and synchronisation of multi-weighted coupled neural networks with and without parameter uncertainties

Wang, Yihao and Huang, Yanli and Yang, Erfu (2020) Event-triggered communication for passivity and synchronisation of multi-weighted coupled neural networks with and without parameter uncertainties. IET Control Theory and Applications, 14 (9). pp. 1228-1239. ISSN 1751-8644

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    Abstract

    A multi-weighted coupled neural networks (MWCNNs) model with event-triggered communication is studied here. On the one hand, the passivity of the presented network model is studied by utilising Lyapunov stability theory and some inequality techniques, and a synchronisation criterion based on the obtained output-strict passivity condition of MWCNNs with eventtriggered communication is derived. On the other hand, some robust passivity and robust synchronisation criteria based on output-strict passivity of the proposed network with uncertain parameters are presented. At last, two numerical examples are provided to testify the effectiveness of the output-strict passivity and robust synchronisation results.

    ORCID iDs

    Wang, Yihao, Huang, Yanli and Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950;
    • Item type:Article
      ID code:72067
      Dates:
      Date
      Event
      11 June 2020
      Published
      30 January 2020
      Published Online
      2 January 2020
      Accepted
      Keywords:multi-weighted coupled neural networks, event-triggered communication, passivity, Electrical engineering. Electronics Nuclear engineering, Control and Optimization, Control and Systems Engineering, Computer Science Applications, Electrical and Electronic Engineering, Human-Computer Interaction
      Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
      Department:Faculty of Engineering > Design, Manufacture and Engineering Management
      Depositing user: Pure Administrator
      Date deposited:16 Apr 2020 12:56
      Last modified:09 Jul 2021 03:18
      URI:https://strathprints.strath.ac.uk/id/eprint/72067
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