Prescribed-Time Synchronization of Stochastic Complex Networks With High-Gain Coupling

Yongbao Wu, Haihua Guo, Lei Xue, Nallappan Gunasekaran, Jian Liu*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

15 Citations (Scopus)

Abstract

This paper considers prescribed-time synchronization of stochastic complex networks via a high-gain function. Different from fixed-time synchronization, the high-gain function is considered in the coupling term of the stochastic complex networks, which enables the stochastic complex networks to achieve the prescribed-time synchronization in a predetermined time rather than relying on the design of system parameters. Moreover, a synchronization criterion is provided. Besides, we can get that the coupling term with the high-gain function is bounded. Finally, two examples with numerical simulations are provided. © 2023 IEEE.
Original languageEnglish
Pages (from-to)4133-4137
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume70
Issue number11
Online published27 Apr 2023
DOIs
Publication statusPublished - Nov 2023

Research Keywords

  • Asymptotic stability
  • Complex networks
  • Convergence
  • Couplings
  • High-gain coupling
  • Laplace equations
  • Prescribed-time synchronization
  • Stochastic complex networks
  • Symmetric matrices
  • Synchronization

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