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Dynamic threshold computation in fault detection for discrete-time linear systems

  • School of Astronautics, Harbin Institute of Technology
  • Polytechnic University of Catalonia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper studies threshold computation in observer-based fault detection for discrete-time linear systems subject to unknown but bounded uncertainties. Based on two different assumptions on uncertainties, we propose two threshold computation methods for residual evaluation. First, we assume that the uncertainties are bounded in known intervals and propose a zonotope-based threshold computation method. Second, the uncertainties are assumed to be norm-bounded and then a threshold computation method using L analysis is proposed. Numerical simulations are given to verify and compare the performance of the proposed methods.

Original languageEnglish
Title of host publicationProceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2241-2246
Number of pages6
ISBN (Electronic)9781538612439
DOIs
StatePublished - 6 Jul 2018
Externally publishedYes
Event30th Chinese Control and Decision Conference, CCDC 2018 - Shenyang, China
Duration: 9 Jun 201811 Jun 2018

Publication series

NameProceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

Conference

Conference30th Chinese Control and Decision Conference, CCDC 2018
Country/TerritoryChina
CityShenyang
Period9/06/1811/06/18

Keywords

  • Fault detection
  • L analysis
  • Threshold computation
  • Zonotopes

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