• DocumentCode
    226705
  • Title

    Non-PDC controller design for Takagi-Sugeno models via line-integral Lyapunov functions

  • Author

    Cherifi, Ahmed ; Guelton, Kevin ; Arcese, Laurent

  • Author_Institution
    CReSTIC EA3804, Univ. de Reims Champagne-Ardenne, Reims, France
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2444
  • Lastpage
    2450
  • Abstract
    This paper presents a new non Parallel Distributed Compensation (non-PDC) controllers design based on line-Integral Lyapunov functions for continuous-time Takagi-Sugeno (T-S) fuzzy models. The previous works are mainly based on a BMI formulation (LMI for first and second order systems only). In this paper, we show that using a property on dual system, it can be possible to formulate the design of a controller as an LMI problem for n-th order T-S systems. Two simulations are provided to show the effectiveness of the proposed approach : a numerical second order academic example and a fourth order benchmark of a single link robot with flexible joint.
  • Keywords
    Lyapunov methods; compensation; continuous time systems; control system synthesis; fuzzy control; linear matrix inequalities; BMI formulation; LMI problem; T-S fuzzy models; continuous-time Takagi-Sugeno fuzzy models; line-integral lyapunov functions; linear matrix inequalities; nonPDC controller design; nonparallel distributed compensation; Fuzzy systems; Joints; Linear matrix inequalities; Lyapunov methods; Robots; Stability analysis; Vectors;
  • 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.2014.6891675
  • Filename
    6891675