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Dissipativity-based event-triggered fuzzy control for unreliable networked systems via looped-functional

  • Zhenbin Du
  • , Yonggui Kao*
  • , Ju H. Park
  • , Xudong Zhao
  • *Corresponding author for this work
  • Yantai University
  • Harbin Institute of Technology Weihai
  • Yeungnam University
  • Dalian University of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, a dissipativity-based event-triggered fuzzy control design was proposed for unreliable networked systems. The controlled plant was characterized as an interval type-2 fuzzy model and a controller with unreliable data transmission was provided via an event-triggered mechanism. The resulting closed-loop system was established by coupling the controlled system to a controller. Bilateral information in a sampling interval was used to create a looped-functional, based on which the existence of the controller can be inferred. Finally, we ensured that the closed-loop system was strictly stochastically 〈Q,S,R〉−γ-dissipative. The effectiveness of the proposed control method was demonstrated experimentally.

Original languageEnglish
Article number119551
JournalInformation Sciences
Volume648
DOIs
StatePublished - Nov 2023
Externally publishedYes

Keywords

  • Event-triggered control
  • Fuzzy system
  • Looped-functional
  • Networked systems

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