Decentralized event-triggered adaptive fuzzy control for nonlinear switched large-scale systems with input delay via command-filtered backstepping

Jing Zhang, Shi Li, Choon Ki Ahn, Zhengrong Xiang

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

This paper presents a decentralized fuzzy adaptive event-triggered command-filtered control scheme for switched large-scale nonlinear systems with input delay. Fuzzy logic systems are employed to approximate uncertain nonlinearities and a novel observer is constructed to estimate unmeasured states. The "explosion of complexity" defect inherent in the backstepping approach is overcome by employing command filter technology. An auxiliary system is designed to compensate for the effect of input delay, and a novel event-triggered decentralized controller is derived based on the common Lyapunov function method. This paper shows that the presented strategy guarantees that all closed-loop variables are semi-globally uniformly ultimately bounded. Finally, simulation results are shown to further confirm the presented strategy's validity.

Original languageEnglish
JournalIEEE Transactions on Fuzzy Systems
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Adaptive systems
  • Backstepping
  • Control systems
  • Delays
  • Fuzzy logic
  • Large-scale systems
  • Switched nonlinear systems
  • Switches
  • adaptive fuzzy control
  • command filter
  • event-triggered control
  • large-scale systems

ASJC Scopus subject areas

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

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