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    Synchronization of coupled reaction-diffusion neural networks: Delay-dependent pinning impulsive control

    Access Status
    Fulltext not available
    Authors
    Xie, X.
    Liu, X.
    Xu, Honglei
    Luo, X.
    Liu, G.
    Date
    2019
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Xie, X. and Liu, X. and Xu, H. and Luo, X. and Liu, G. 2019. Synchronization of coupled reaction-diffusion neural networks: Delay-dependent pinning impulsive control. Communications in Nonlinear Science and Numerical Simulation. 79: ARTN 104905.
    Source Title
    Communications in Nonlinear Science and Numerical Simulation
    DOI
    10.1016/j.cnsns.2019.104905
    ISSN
    1007-5704
    Faculty
    Faculty of Science and Engineering
    School
    School of Elec Eng, Comp and Math Sci (EECMS)
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP160102819
    URI
    http://hdl.handle.net/20.500.11937/90972
    Collection
    • Curtin Research Publications
    Abstract

    This paper studies the synchronization problem of coupled reaction-diffusion neural networks with time-varying delays. A novel pinning impulsive controller is proposed, where distributed delays and discrete delays are taken into account, respectively. By using the Lyapunov–Krasovskii method, the relations among impulsive gains, pinned node numbers, impulsive intervals, impulsive instants and time delays are derived. Exponential synchronization criteria are established for the delayed coupled reaction-diffusion neural networks. Our results show that synchronization of the neural networks can be achieved by controlling a small portion of nodes in the networks via delayed impulses. Numerical examples are provided to demonstrate the effectiveness of the theoretical results.

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