• DocumentCode
    358923
  • Title

    A discrete-time game-theoretic fault detection filter

  • Author

    Mutuel, Laurence H. ; Speyer, Jason L.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., California Univ., Los Angeles, CA, USA
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3388
  • Abstract
    The fault detection problem is approximated by a discrete-time disturbance attenuation problem which in turn is cast into a discrete minimax problem. Solving the game leads to a Riccati-based filter. As the sampling time decreases the discrete-time filter converges to the continuous-time game-theoretic fault detection filter. As the disturbance attenuation bound is taken to zero, the discrete-time fault detection filter exhibits different properties from its continuous-time counterpart. The solution to the Riccati equation in the limit exists and the nuisance fault direction appears as an invariant direction of the Riccati equation. The Riccati equation in the limit and the detection filter equations are projected orthogonally to the nuisance direction to obtain a reduced-order Riccati and filter equations. The reduced-order estimates remain naturally unbiased when any nuisance fault occurs
  • Keywords
    Riccati equations; discrete time systems; fault diagnosis; filtering theory; game theory; linear systems; minimax techniques; reduced order systems; Riccati equation; discrete-time systems; disturbance attenuation; fault detection filter; game theory; linear time invariant systems; minimax method; reduced-order systems; Actuators; Aerospace engineering; Attenuation; Condition monitoring; Fault detection; Fault diagnosis; Filtering theory; Filters; Minimax techniques; Riccati equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2000. Proceedings of the 2000
  • Conference_Location
    Chicago, IL
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-5519-9
  • Type

    conf

  • DOI
    10.1109/ACC.2000.879196
  • Filename
    879196