• DocumentCode
    2816215
  • Title

    Optimal solutions to multi-objective robust fault detection problems

  • Author

    Liu, Nike ; Zhou, Kemin

  • Author_Institution
    Louisiana State Univ., Baton Rouge
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    981
  • Lastpage
    988
  • Abstract
    This paper will give complete, analytic, and optimal solutions to several robust fault detection problems that have been considered in the research community in the last twenty years. It is shown that several well-recognized robust fault detection problems, such as H-/Hinfin, H2/Hinfin, and Hinfin/Hinfin problems, have a very simple optimal solution in an observer form by solving a standard algebraic Riccati equation. Moreover, the optimal filter does not depend on how the fault occurs, i.e., it is optimal for all possible faults under the optimization criteria. It is also shown that some well-studied and seeming sensible optimization criteria for fault detection filter design could lead to (optimal but) useless fault detection filter designs.
  • Keywords
    Hinfin control; Riccati equations; fault diagnosis; robust control; H2/Hinfin problem; Hinfin/Hinfin problem; H_/Hinfin problem; algebraic Riccati equation; fault filter design; multiobjective robust fault detection problems; optimal filter; optimal solutions; optimization criteria; Design optimization; Fault detection; Fault diagnosis; Filters; Hydrogen; Noise robustness; Optimal control; Riccati equations; Robust control; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434123
  • Filename
    4434123