Fault detection and isolation of LTV systems using set-valued observers

Paulo Rosa*, Carlos Silvestre, Jeff S. Shamma, Michael Athans

*Corresponding author for this work

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

39 Scopus citations

Abstract

This paper introduces the novel concept of using Set-Valued Observers (SVOs) in Fault Detection and Isolation (FDI), for discrete-time linear time-varying systems. The proposed method relies on SVO-based model invalidation to discard models that are not compatible with the input/output data. We argue that there are mainly three significant advantages of using SVOs for FDI, when compared to the most common strategies available in the literature: i) under suitable conditions, we can guarantee that there will be no false alarms; ii) unlike residual-based architectures, the proposed technique does not require the computation of a threshold to declare faults; iii) the SVOs can be used with a wide class of time-varying linear uncertain discrete-time systems. We further show, in simulation, that the proposed FDI algorithm in general requires a very small number of iterations to detect and identify a faulty behavior.

Original languageEnglish (US)
Title of host publication2010 49th IEEE Conference on Decision and Control, CDC 2010
Pages768-773
Number of pages6
DOIs
StatePublished - Dec 1 2010
Event2010 49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, GA, United States
Duration: Dec 15 2010Dec 17 2010

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other2010 49th IEEE Conference on Decision and Control, CDC 2010
CountryUnited States
CityAtlanta, GA
Period12/15/1012/17/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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