Stability and pinning synchronization analysis of fractional order delayed Cohen–Grossberg neural networks with discontinuous activations

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This article, we explore the asymptotic stability and asymptotic synchronization analysis of fractional order delayed Cohen–Grossberg neural networks with discontinuous neuron activation functions (FCGNNDDs). First, under the framework of Filippov theory and differential inclusion theoretical analysis, the global existence of Filippov solution for FCGNNDDs is studied by means of the given growth condition. Second, by virtue of suitable Lyapunov functional, Young inequality and comparison theorem for fractional order delayed linear system, some global asymptotic stability conditions for such system is derived by limiting discontinuous neuron activations. Third, the global asymptotic synchronization condition for FCGNNDDs is obtained based on the pinning control. At last, two numerical simulations are given to verify the theoretical findings.

论文关键词:Asymptotic stability,Asymptotic synchronization,Fractional order systems,Time-delay,Filippov’s solutions,Pinning control

论文评审过程:Received 26 November 2018, Revised 20 March 2019, Accepted 22 April 2019, Available online 11 May 2019, Version of Record 11 May 2019.

论文官网地址:https://doi.org/10.1016/j.amc.2019.04.062