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 journalArticle

62 Citations (Scopus)

Abstract

This paper studies the problem of adaptive event-triggered dynamic output feedback fuzzy control for nonlinear networked control systems (NCSs). Two crucial factors, packet dropouts and random actuator failure, are taken into consideration simultaneously. Takagi-Sugeno (T-S) fuzzy model is introduced to describe considered systems. The Bernoulli random distribution process is employed to depict the phenomenon of data missing. A stochastic function, which is related to Markovian variables, is adopted to depict the actuator failure. An innovative adaptive event-triggered mechanism is introduced to save computational resource. In the framework of Lyapunov stability theory, an adaptive event-triggered fuzzy dynamic output feedback controller is designed to guarantee the stochastic stability and <formula><tex>$\mathcal{H}_{\infty}$</tex></formula> performance for considered systems. Finally, simulation results are provided to demonstrate the usefulness of the proposed control strategy.

Original languageEnglish
JournalIEEE Transactions on Fuzzy Systems
DOIs
Publication statusAccepted/In press - 2019 Jan 1

Keywords

  • actuator failure
  • Actuators
  • Adaptation models
  • Adaptive event-triggered mechanism
  • Adaptive systems
  • Delays
  • Fuzzy control
  • fuzzy dynamic output feedback control
  • networked control systems (NCSs)
  • Output feedback
  • packet dropouts
  • Symmetric matrices

ASJC Scopus subject areas

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

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