• DocumentCode
    2563791
  • Title

    Adaptive fuzzy output-feedback control with unknown dead-zone and high-frequency control gain sign

  • Author

    Qin Wang ; Tian-Ping Zhang ; Hui, Wen ; Wang Sue

  • Author_Institution
    Coll. of Inf. Eng., Yangzhou Univ., Yangzhou
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    2988
  • Lastpage
    2993
  • Abstract
    A robust adaptive output-feedback control scheme is proposed for a class of nonlinear systems with unknown dead-zone and high-frequency control gain sign. The design is based on the approximation capability of the first type fuzzy systems. Combining the Nussbaum gain technique with adaptive backstepping method, the high-frequency control gain sign is assumed to be unknown. By employing the tuning functions, the adaptive law is designed, and the overparametrization is avoided. Furthermore, using the Youngpsilas inequality and parameter adaptive estimation, the parameters of the dead-zone model and the upper bound of the disturbances neednpsilat to be known. By theoretical analysis, the closed-loop control system is proved to be uniformly ultimately bounded (UUB). Simulation results demonstrate the effectiveness of the approach.
  • Keywords
    adaptive control; feedback; frequency control; fuzzy control; nonlinear control systems; Young inequality; adaptive backstepping method; adaptive fuzzy output-feedback control; closed-loop control system; first type fuzzy systems; high-frequency control gain sign; nonlinear systems; robust adaptive output-feedback control scheme; uniformly ultimately bounded; unknown dead-zone; Adaptive control; Adaptive estimation; Backstepping; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Programmable control; Robust control; Nussbaum gain; high-frequency gain; output-feedback control; tuning function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597873
  • Filename
    4597873