Fault detection and isolation based on adaptive observers for linear time varying systems

Aiping Xu, Qinghua Zhang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

6 Citations (Scopus)

Abstract

A new method for fault detection and isolation (FDI) in stochastic linear time varying (LTV) systems is proposed in this paper. It allows to completely isolate any number of faults regardless of the number of output sensors, thanks to an appropriate assumption on the fault profiles and to some persistent excitation condition. In contrast, most existing methods enabling complete fault isolation have been developed for linear time invariant (LTI) systems and require a strong condition on the number of sensors. The method proposed in this paper is based on a recent development for the design of adaptive observers. Its performance is illustrated by a numerical example.
Original languageEnglish
Title of host publication15th IFAC World Congress
Pages47-52
Number of pages6
Volume35
Edition1
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event15th Triennial World Congress 2002 - Barcelona, Spain
Duration: 21 Jul 200226 Jul 2002
Conference number: 15

Conference

Conference15th Triennial World Congress 2002
CountrySpain
CityBarcelona
Period21/07/0226/07/02

Keywords

  • Fault detection and isolation
  • Linear time varying system
  • Adaptive algorithms

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