Quasi-synchronization of fractional-order memristor-based neural networks with leakage delay under parameter mismatches
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    Abstract:

    In this paper,we mainly discuss the quasi-synchronization problem of a class of fractional-order memristor-based neural networks with multiple transmission delays and leakage delay under parameter mismatches.Firstly,the delay linear feedback controller is given,then according to the theory of fractional-order differential inclusion,set-valued maps,fractional-order differential inequality theory and so on,the conditions for the master-slave systems to reach the quasi-synchronization and the corresponding error bounds are obtained.Finally,some corresponding numerical simulations are given to demonstrate the effectiveness of the obtained results.

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ZHANG Jianmei, BAO Haibo, CAO Jinde. Quasi-synchronization of fractional-order memristor-based neural networks with leakage delay under parameter mismatches[J]. Journal of Nanjing University of Information Science & Technology,2019,11(4):428-434

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  • Received:June 13,2019
  • Online: September 03,2019
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