• DocumentCode
    2738180
  • Title

    Robust H∞ fault-tolerant control for networked control system based on Takagi-Sugeno Fuzzy Model

  • Author

    Li, Wei ; Jiang, Dongnian

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    449
  • Lastpage
    456
  • Abstract
    This paper investigates the problem of robust H∞ fault-tolerant control for a class of uncertain nonlinear networked control system (NCSs) with external disturbance. A T-S fuzzy model is employed to represent the nonlinear controlled plant in the NCSs. Both networked-induced delay and packet dropout in transmission are addressed. By using Lyapunov-Krasovskii functional, introducing some slack matrices, the less conservative robust H∞ integrity design for NCSs against failures of actuator and sensor is analyzed based on a delay-dependent approach, and the robust H∞ fault-tolerant controller gain can be obtained via solving several linear matrix inequalities (LMIs). Finally, an example is used to illustrate the effectiveness and the feasibility of the proposed approach.
  • Keywords
    H∞ control; Lyapunov methods; delays; fault tolerance; fuzzy set theory; linear matrix inequalities; nonlinear control systems; robust control; uncertain systems; H∞ fault-tolerant control; Lyapunov-Krasovskii functional; Takagi-Sugeno fuzzy model; linear matrix inequalities; networked-induced delay; packet dropout; robust control; uncertain nonlinear networked control system; Control systems; Failure analysis; Fault tolerant systems; Fuzzy control; Hydraulic actuators; Linear matrix inequalities; Networked control systems; Nonlinear control systems; Robust control; Robustness; Networked Control System; T-S fuzzy model; delay-dependent; fault-tolerant control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358365
  • Filename
    5358365