Finite-time anti-synchronization of multi-weighted coupled neural networks with and without coupling delays

Hou, Jie and Huang, Yanli and Yang, Erfu (2019) Finite-time anti-synchronization of multi-weighted coupled neural networks with and without coupling delays. Neural Processing Letters, 50 (3). pp. 2871-2898. ISSN 1370-4621

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    Abstract

    The multi-weighted coupled neural networks (MWCNNs) models with and without coupling delays are investigated in this paper. Firstly, the finite-time anti-synchronization of MWCNNs with fixed topology and switching topology is analyzed respectively by utilizing Lyapunov functional approach as well as some inequality techniques, and several anti-synchronization criteria are put forward for the considered networks. Furthermore, when the parameter uncertainties appear in MWCNNs, some conditions for ensuring robust finite-time anti-synchronization are obtained. Similarly, we also consider the finite-time anti-synchronization and robust finite-time anti-synchronization for MWCNNs with coupling delays under fixed and switched topologies respectively. Lastly, two numerical examples with simulations are provided to confirm the effectiveness of these derived results.

    ORCID iDs

    Hou, Jie, Huang, Yanli and Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950;
    • Item type:Article
      ID code:68585
      Dates:
      Date
      Event
      1 December 2019
      Published
      25 June 2019
      Published Online
      17 June 2019
      Accepted
      Notes:This is a post-peer-review, pre-copyedit version of an article published in Neural Processing Letters. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11063-019-10069-x.
      Keywords:finite-time anti-synchronization, coupled neural networks, multiple weights, robust anti-synchronization, switching topology, Electrical engineering. Electronics Nuclear engineering, Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering
      Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
      Department:Faculty of Engineering > Design, Manufacture and Engineering Management
      Depositing user: Pure Administrator
      Date deposited:25 Jun 2019 13:39
      Last modified:04 Jun 2021 02:08
      Related URLs:
      URI:https://strathprints.strath.ac.uk/id/eprint/68585
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