Cluster stochastic synchronization of complex dynamical networks via fixed-time control scheme.

Journal: Neural networks : the official journal of the International Neural Network Society
Published Date: Jan 7, 2020

Abstract

By means of fixed-time (FDT) control technique, cluster stochastic synchronization of complex networks (CNs) is investigated. Quantized controller is designed to realize the synchronization of CNs within a settling time. FDT synchronization criteria are established with the help of Lyapunov functional and comparison system methods. It should be noted that the convergence of synchronization is further improved by comparing with existing FDT synchronization results. Numerical simulations are given to illustrate our results.

Authors

  • Wanli Zhang
    Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, PR China.
  • Chuandong Li
    College of Electronic and Information Engineering, Southwest University, Chongqing 400044, PR China. Electronic address: licd@cqu.edu.cn.
  • Hongfei Li
    Department of Neurology, Dongyang People's Hospital, Affiliated to Wenzhou Medical University, Dongyang, China.
  • Xinsong Yang
    Department of Mathematics, Chongqing Normal University, Chongqing, 401331, China. Electronic address: xinsongyang@163.com.

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