• DocumentCode
    231366
  • Title

    Robust fault detection for nonlinear time-delay systems based on fuzzy observer

  • Author

    Tao Hongfeng ; Zhang Hua ; Hu Shousong

  • Author_Institution
    Key Lab. of Adv. Process Control for Light Ind. Minist. of Educ., Jiangnan Univ., Wuxi, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    3224
  • Lastpage
    3228
  • Abstract
    Robust fault detection method based on fuzzy sliding mode observers is developed for a class of uncertain nonlinear systems with time-delay. The uncertain Takagi-Sugeno fuzzy model with time-delay is adopted for fuzzy modeling of nonlinear system to reduce the modeling error, and a synthesis method of the design of sliding mode observers is introduced to generate the estimate state error and residual then to eliminate the effect of the unknown uncertainties of the system for avoiding false alarms, the synthesis method of the observers is presented via solving LMIs. Finally, a simulation example is given to show the design procedure and illustrate the effectiveness of the proposed method.
  • Keywords
    control system synthesis; delay systems; fault diagnosis; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; robust control; uncertain systems; variable structure systems; LMI; fuzzy sliding mode observers; linear matrix inequalities; nonlinear time-delay system; robust fault detection; state error estimation; synthesis method; uncertain Takagi-Sugeno fuzzy model; Fault detection; Nonlinear systems; Observers; Robustness; Takagi-Sugeno model; Uncertainty; T-S fuzzy model; fault detection; nonlinear time-delay systems; sliding mode observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6895469
  • Filename
    6895469