Multi-weighted complex structure on fractional order coupled neural networks with linear coupling delay: a robust synchronization problem
AffiliationAlagappa University, Karaikudi
Texas A&M University
Southeast University, Nanjing, China
University of Derby
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AbstractThis 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.
CitationPratap, 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.
PublisherSpringer Science and Business Media LLC
JournalNeural Processing Letters