• DocumentCode
    602579
  • Title

    Tracking control design based on symbolic fuzzy switching for nonlinear systems

  • Author

    Lamloumi, L. ; Yaich, Adel ; Chaari, Abdelkader

  • Author_Institution
    Dept. of Electr. Eng., Higher Sch. of Sci. & Tech. of Tunis, Tunis, Tunisia
  • fYear
    2013
  • fDate
    20-22 Jan. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this work we interest to nonlinear systems tracking control using a multiple model approach based on a switching procedure. Two switching techniques based control schemes are considered: by “select” or by “weighted combination”. The main difference consists to the way that the global control law, applied to the system, is computed. The switched control law by “select” consists to the selection of one controller in each instant according to a selection criterion. However, the switched control by “weighted combination” is computed based on a symbolic fuzzy switching. The simulation results on a wrist of Staubli Robot shows the good performances of the two switched control schemes and the improvement offered by the symbolic fuzzy system in term of reject of abruptly switching effects on the global control law.
  • Keywords
    control system synthesis; fuzzy control; mobile robots; nonlinear control systems; time-varying systems; Stäubli robot; global control law; multimodel approach; nonlinear system tracking control design; switched control law; switched control scheme; symbolic fuzzy switching; weighted combination; Adaptation models; Nonlinear systems; Robots; State feedback; Switches; Wrist; Stiiubli Robot wrist; multimodel; nonlinear systems; switching; symbolic fuzzy system; tracking control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications Technology (ICCAT), 2013 International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4673-5284-0
  • Type

    conf

  • DOI
    10.1109/ICCAT.2013.6522058
  • Filename
    6522058