Adaptive Event-Triggered Output Feedback Fuzzy Control for Nonlinear Networked Systems with Packet Dropouts and Actuator Failure

Zhenxing Zhang, Hongjing Liang, Chengwei Wu, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

105 Citations (Scopus)

Abstract

This paper studies the problem of adaptive event-triggered dynamic output feedback fuzzy control for nonlinear networked control systems. Two crucial factors, packet dropouts and actuator failure, are taken into consideration simultaneously. Takagi-Sugeno fuzzy model is introduced to describe considered systems. The Bernoulli random distribution process is employed to depict the phenomenon of data missing. The actuator failure model is adopted to depict actuator failure. An innovative adaptive event-triggered strategy is built to save computational resource. In the light of Lyapunov stability theory, a fuzzy dynamic output feedback controller is designed to guarantee the stochastic stability and \mathcal {H}-{\infty } performance for considered systems. Finally, simulation results are provided to demonstrate the usefulness of the proposed control strategy.

Original languageEnglish
Article number8603800
Pages (from-to)1793-1806
Number of pages14
JournalIEEE Transactions on Fuzzy Systems
Volume27
Issue number9
DOIs
Publication statusPublished - 2019 Sep

Keywords

  • Actuator failure
  • Adaptive event-triggered mechanism
  • Fuzzy dynamic output feedback control
  • Networked control systems (NCSs)
  • Packet dropouts

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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