• DocumentCode
    3523697
  • Title

    Robust fault detection observer design for Takagi-Sugeno systems: A descriptor approach

  • Author

    Bouattour, M. ; Chadli, M. ; El Hajjaji, A. ; Chaabane, M.

  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    255
  • Lastpage
    260
  • Abstract
    In this paper, a robust fault detection observer is designed for a class of nonlinear systems described by T-S (Takagi-Sugeno) fuzzy model with sensor faults and unknown bounded disturbances. The method uses the technique of descriptor systems by considering sensor faults as an auxiliary state variables. The basic idea of our study is to formulate the robust fault detection observer design as a H-/H problem. A solution of the considered problem is then given via a Linear Matrix Inequality (LMI) formulation. The considered robust fault detection observer design problem is solved with a given sufficient conditions based on an iterative LMI procedure.
  • Keywords
    H optimisation; fault diagnosis; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; robust control; H-/H problem; Takagi-Sugeno fuzzy systems; descriptor systems; linear matrix inequality; nonlinear systems; robust fault detection observer design; sensor faults; unknown bounded disturbances; Fault detection; Linear matrix inequalities; Modeling; Observers; Robustness; Sensitivity; Symmetric matrices; H-; H; LMI; T-S fuzzy models; descriptor observer; disturbance; fault detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2010 18th Mediterranean Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4244-8091-3
  • Type

    conf

  • DOI
    10.1109/MED.2010.5547677
  • Filename
    5547677