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.

    Creators(s): Wang, Yihao, Huang, Yanli and Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950;
    Item type:Article
    ID code:72067
    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:12 Feb 2021 04:42
    URI:https://strathprints.strath.ac.uk/id/eprint/72067
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