Fuzzy-Approximation-Based Event-Triggered Output Feedback Adaptive Control for Nonlinear Switched Large-Scale Systems With Actuator Faults

Jing Zhang, Choon Ki Ahn, Zhengrong Xiang

Research output: Contribution to journal › Article › peer-review

Abstract

This article investigates the output feedback adaptive fuzzy event-triggered fault-tolerant control issue of nonlinear switched large-scale systems. First, a new state observer is established to estimate unmeasured states. Fuzzy logic systems are exploited to identify both unknown interconnections and uncertainties. Next, the Nussbaum gain technique is employed to tackle actuator failures and unknown control directions. A novel adaptive fuzzy fault-tolerant event-triggered controller is derived to guarantee the boundedness of closed-loop signals. Moreover, the Zeno phenomenon can be avoided. Finally, a practical simulation is given to illustrate the validity of the developed method.

Original languageEnglish
JournalIEEE Systems Journal
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Actuator failures
  • Actuators
  • adaptive fuzzy control
  • event-triggered control
  • Fault tolerant systems
  • Fuzzy logic
  • large-scale systems
  • Large-scale systems
  • nonlinear switched systems
  • Observers
  • Output feedback
  • Switches

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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