• DocumentCode
    226826
  • Title

    Direct adaptive fuzzy tracking control with observer and supervisory controller for nonlinear MIMO time delay systems

  • Author

    Chia-Hao Kuo ; Tsung-Chih Lin ; Chien-Liang Chen

  • Author_Institution
    Ph. D. Program of Electr. & Commun. Eng., Feng-Chia Univ., Taichung, Taiwan
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    1891
  • Lastpage
    1897
  • Abstract
    This paper proposes a direct adaptive fuzzy H control with observer and supervisory controller for uncertain multiple-input multiple-output (MIMO) nonlinear dynamical systems. Since time delays and external disturbances probably are sources of unstable for the system, by combining H control theory and fuzzy control to make both fuzzy logic approximation error and external disturbance on the track error are attenuated to a prescribed level. Based on Lyaounov stability criterion, the parameters of the adaptive fuzzy controller can be tuned online by control law and adaptive law. Simulation results show that effectiveness and track performance are acceptable.
  • Keywords
    H control; Lyapunov methods; MIMO systems; adaptive control; control system synthesis; delays; fuzzy control; nonlinear dynamical systems; observers; stability; H control theory; Lyaounov stability criterion; adaptive law; control law; direct adaptive fuzzy H control; direct adaptive fuzzy tracking control; external disturbance; external disturbances; fuzzy logic approximation error; nonlinear MIMO time delay systems; observer; supervisory controller; track performance; uncertain multiple-input multiple-output nonlinear dynamical systems; Adaptive systems; Delay effects; Fuzzy control; Fuzzy neural networks; MIMO; Observers; Vectors; H control theory; Lyaounov stability criterion; Observer; supervisory controller; uncertain MIMO nonlinear dynamical system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891732
  • Filename
    6891732