• DocumentCode
    622054
  • Title

    Positive observer based tracking controller design for Takagi-Sugeno systems

  • Author

    Zaidi, Ines ; Tadeo, Fernando ; Chaabane, Mohamed

  • Author_Institution
    Dept. of Syst. Eng. & Autom., Univ. of Valladolid, Valladolid, Spain
  • fYear
    2013
  • fDate
    18-21 March 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a new methodology of designing a positive observer based-tracking controller for Takagi-Sugeno systems with unmeasurable premise variables. For that, a positive Takagi-Sugeno observer is developed in order to estimate the system states and to guarantee the nonnegativity of the estimates at each time. Convergence conditions are established in order to guarantee the convergence of the state error. These conditions are given in Linear Matrix Inequalities (LMIs) formulation which makes possible to obtain the gains of the fuzzy controller and observer considered. Finally, simulation results show the effectiveness of the proposed positive observer.
  • Keywords
    control system synthesis; controllers; fuzzy control; fuzzy systems; linear matrix inequalities; observers; position control; LMI formulation; Takagi-Sugeno systems; convergence conditions; fuzzy controller; fuzzy observer; linear matrix inequality formulation; positive observer based tracking controller design; state error; system state estimation; Convergence; Educational institutions; Linear matrix inequalities; Matrices; Observers; Takagi-Sugeno model; Linear Matrix Inequalities; Lyapunov function; Takagi-Sugeno model; error estimation; positive electrical circuit; positive observer based tracking controller; state estimation; techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-6459-1
  • Electronic_ISBN
    978-1-4673-6458-4
  • Type

    conf

  • DOI
    10.1109/SSD.2013.6564117
  • Filename
    6564117