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    Multi-weighted complex structure on fractional order coupled neural networks with linear coupling delay: a robust synchronization problem

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    Authors
    Pratap, A.
    Raja, R.
    Agarwal, Ravi. P.
    Cao, J.
    Bagdasar, Ovidiu cc
    Affiliation
    Alagappa University, Karaikudi
    Texas A&M University
    Southeast University, Nanjing, China
    University of Derby
    Issue Date
    2020-02-19
    
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    Abstract
    This sequel is concerned with the analysis of robust synchronization for a multi-weighted complex structure on fractional-order coupled neural networks (MWCFCNNs) with linear coupling delays via state feedback controller. Firstly, by means of fractional order comparison principle, suitable Lyapunov method, Kronecker product technique, some famous inequality techniques about fractional order calculus and the basis of interval parameter method, two improved robust asymptotical synchronization analysis, both algebraic method and LMI method, respectively are established via state feedback controller. Secondly, when the parameter uncertainties are ignored, several synchronization criterion are also given to ensure the global asymptotical synchronization of considered MWCFCNNs. Moreover, two type of special cases for global asymptotical synchronization MWCFCNNs with and without linear coupling delays, respectively are investigated. Ultimately, the accuracy and feasibility of obtained synchronization criteria are supported by the given two numerical computer simulations.
    Citation
    Pratap, A., Raja, R., Agarwal, R.P., Cao, J. and Bagdasar, O., (2020). 'Multi-weighted complex structure on fractional order coupled neural networks with linear coupling delay: a robust synchronization problem'. Neural Processing Letters, pp. 1-27.
    Publisher
    Springer Science and Business Media LLC
    Journal
    Neural Processing Letters
    URI
    http://hdl.handle.net/10545/624707
    DOI
    10.1007/s11063-019-10188-5
    Additional Links
    https://link.springer.com/article/10.1007/s11063-019-10188-5
    Type
    Article
    Language
    en
    ISSN
    1370-4621
    EISSN
    1573-773X
    ae974a485f413a2113503eed53cd6c53
    10.1007/s11063-019-10188-5
    Scopus Count
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    Department of Electronics, Computing & Maths

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