Pinning synchronization of memristor-based neural networks with time-varying delays.

Journal: Neural networks : the official journal of the International Neural Network Society
Published Date: Sep 1, 2017

Abstract

In this paper, the synchronization of memristor-based neural networks with time-varying delays via pinning control is investigated. A novel pinning method is introduced to synchronize two memristor-based neural networks which denote drive system and response system, respectively. The dynamics are studied by theories of differential inclusions and nonsmooth analysis. In addition, some sufficient conditions are derived to guarantee asymptotic synchronization and exponential synchronization of memristor-based neural networks via the presented pinning control. Furthermore, some improvements about the proposed control method are also discussed in this paper. Finally, the effectiveness of the obtained results is demonstrated by numerical simulations.

Authors

  • Zhanyu Yang
    The School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. Electronic address: yangzhanyu@hotmail.com.
  • Biao Luo
  • Derong Liu
    State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Yueheng Li
    The School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. Electronic address: yuehengli@hotmail.com.

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