• DocumentCode
    2754907
  • Title

    Output feedback tracking control of uncertain nonlinear systems with non-symmetric dead-zone input

  • Author

    Chiang, Chiang-Cheng ; Liu, Cheng-Chieh

  • Author_Institution
    Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, an observer-based robust adaptive fuzzy control strategy is presented for uncertain nonlinear dynamical systems subject to non-symmetric dead-zone nonlinearity. Within this scheme, fuzzy logic systems are used to estimate unknown nonlinear function of the dynamic system and unknown upper bounds of unmatched uncertainties, respectively. A state observer based on state variable filters is designed to estimate all the states which are not available for measurement in the system. Moreover, the adaptive scheme requires only the information about the bounds of the dead-zone slopes. By the Lyapunov function stability theorem, the asymptotical stability of the resulting closed-loop system can be guaranteed, and the output tracking performance of the whole system can be achieved. Finally, some simulation results are introduced to verify the effectiveness of the proposed controller.
  • Keywords
    Lyapunov methods; adaptive control; asymptotic stability; closed loop systems; control system synthesis; feedback; fuzzy control; nonlinear control systems; observers; robust control; uncertain systems; Lyapunov function stability theorem; asymptotical stability; closed-loop system; fuzzy logic system; nonlinear dynamical system; nonlinear function; nonsymmetric dead-zone nonlinearity; observer-based control; output feedback tracking control; robust adaptive fuzzy control; state observer; state variable filter; uncertain nonlinear system; Adaptive systems; Fuzzy logic; Nonlinear systems; Observers; Robustness; Uncertainty; Vectors; dead-zone input; fuzzy control; nonlinear systems; output feedback; state variable filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4673-1507-4
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2012.6251296
  • Filename
    6251296