• DocumentCode
    397534
  • Title

    An LMI approach to worst case analysis for fault detection observers

  • Author

    Liu, Jian ; Wang, Jian Liang ; Yang, Guang-hong

  • Author_Institution
    Honeywell Avionics Inc., Singapore, Singapore
  • Volume
    4
  • fYear
    2003
  • fDate
    4-6 June 2003
  • Firstpage
    2985
  • Abstract
    This paper systematically formulates the worst-case fault sensitivity analysis problem for fault detection observers. The lowest level of a fault detector´s fault sensitivity is defined as an H_ index. A full characterization of the H_ index is given in terms of matrix equalities and inequalities as a dual of the bounded real lemma. Necessary and sufficient conditions are given to find a lower bound of H_ index, which can be calculated efficiently by linear matrix inequality (LMI) solvers. In addition, the analysis problem with respect to a finite frequency band is also solved by adding weighting filters, which is very useful for strictly proper systems. The necessary and sufficient conditions for input observability are also given, which is necessary condition for a fault detection observer to have a nonzero worst-case fault sensitivity. The effectiveness of the proposed approaches is shown by numerical exampled.
  • Keywords
    fault diagnosis; linear matrix inequalities; observers; sensitivity analysis; LMI approach; bounded real lemma; fault detection observers; fault sensitivity analysis; finite frequency band; linear matrix inequalities; matrix equalities; weighting filters; worst case analysis; Computer aided software engineering; Fault detection; Filters; Frequency; Linear matrix inequalities; Noise robustness; Observability; Sensitivity analysis; Sufficient conditions; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2003. Proceedings of the 2003
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7896-2
  • Type

    conf

  • DOI
    10.1109/ACC.2003.1243779
  • Filename
    1243779