An improved result on synchronization control for memristive neural networks with inertial terms and reaction-diffusion items.

Journal: ISA transactions
Published Date: Oct 29, 2019

Abstract

This paper investigates the synchronization issue of the memristive neural networks (MNNs) with inertial terms and reaction-diffusion items. In order to smoothly derive the controller gains and obtain an excellent control effect, the desired controller that contains a discontinuous function is proposed. Moreover, by constructing a novel Lyapunov-Krasovskii functional and combining the inequality techniques, several sufficient conditions in terms of algebraic inequalities are obtained to guarantee the synchronization of the proposed drive and response systems. Finally, three numerical simulations are exploited to support the acquired theoretical results.

Authors

  • Xiaona Song
    School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China. Electronic address: xiaona97@haust.edu.cn.
  • Jingtao Man
    School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China. Electronic address: 180318050247@stu.haust.edu.cn.
  • Shuai Song
    School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China. Electronic address: shuaisong@njust.edu.cn.
  • Zhen Wang
    Department of Otolaryngology, Longgang Otolaryngology hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.

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