Skip to main navigation Skip to search Skip to main content

Zonotopic Fault Detection for 2-D Systems Under Event-Triggered Mechanism

  • Xudong Wang
  • , Zhongyang Fei*
  • , Peng Shi
  • , Jinyong Yu
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • University of Adelaide

Research output: Contribution to journalArticlepeer-review

Abstract

This article studies the problem of event-triggered fault detection (FD) for 2-D systems subjected to amplitude-bounded exogenous disturbance and measurement noise via a zonotopic residual evaluation mechanism. An event-triggered mechanism is introduced into the FD framework to save limited communication resources. A finite-frequency (FF) mixed \ell _{\infty }/h_{\infty } index is derived to ensure the residual signal is sensitive to a fault signal while robust to disturbance and noise, based on which an optimal mixed \ell _{\infty }/h_{\infty } FD filter design criterion is provided. Instead of constant thresholds, novel zonotope-based dynamic thresholds are utilized for residual evaluation. Finally, simulation results are presented to illustrate the effectiveness of the developed mechanism.

Original languageEnglish
Pages (from-to)3510-3518
Number of pages9
JournalIEEE Transactions on Cybernetics
Volume52
Issue number5
DOIs
StatePublished - 1 May 2022

Keywords

  • 2-D systems
  • event-triggered scheme
  • fault detection (FD)
  • finite frequency (FF)
  • zonotopic residual evaluation

Fingerprint

Dive into the research topics of 'Zonotopic Fault Detection for 2-D Systems Under Event-Triggered Mechanism'. Together they form a unique fingerprint.

Cite this