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. pp. 1-28. 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.

    Author(s):Hou, Jie, Huang, Yanli and Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950
    Item type:Article
    ID code:68585
    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:18 Nov 2019 03:14
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    URI:https://strathprints.strath.ac.uk/id/eprint/68585
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