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Global Mittag-Leffler synchronization of coupled delayed fractional reaction-diffusion Cohen-Grossberg neural networks via sliding mode control

  • Yonggui Kao
  • , Yue Cao*
  • , Xiangyong Chen
  • *Corresponding author for this work
  • Harbin Institute of Technology Weihai
  • Linyi University

Research output: Contribution to journalArticlepeer-review

Abstract

This paper studies the sliding mode control method for coupled delayed fractional reaction-diffusion Cohen-Grossberg neural networks on a directed non-strongly connected topology. A novel fractional integral sliding mode surface and the corresponding control law are designed to realize global Mittag-Leffler synchronization. The sufficient conditions for synchronization and reachability of the sliding mode surface are derived via the hierarchical method and the Lyapunov method. Finally, simulations are provided to verify our theoretical findings.

Original languageEnglish
Article number113123
JournalChaos
Volume32
Issue number11
DOIs
StatePublished - Nov 2022
Externally publishedYes

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