Fault Detection for Lipschitz Nonlinear Systems with Restricted Frequency-Domain Specifications

Jitao Li, Zhenhua Wang, Choon Ki Ahn, Yi Shen

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This article deals with the problem of fault detection for discrete-time Lipschitz nonlinear systems subject to a class of restricted frequency-domain specifications. We present a novel observer structure with more design parameters, which can be applied to enhance the observer performance. The performances of fault sensitivity and disturbance robustness are characterized using finite-frequency H_- and H_∞ indices, respectively. Less restrictive design conditions are obtained based on a reformulated Lipschitz property. Moreover, to detect faults timely, a novel dynamic threshold is synthesized based on zonotopic set-membership techniques. Simulation examples are conducted to demonstrate the viability and validity of the presented method.

Original languageEnglish
Pages (from-to)7486-7496
Number of pages11
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume51
Issue number12
DOIs
Publication statusPublished - 2021 Dec 1

Keywords

  • Dynamic threshold
  • fault detection
  • Lipschitz nonlinear systems
  • restricted frequency-domain specifications (RFDSs)

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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