• DocumentCode
    1691065
  • Title

    LMI design approach to robust fuzzy sliding-mode observer in dynamical uncertain systems

  • Author

    Zhao, Jin ; Shen, Zhong-yu ; Gu, Xing-Sheng ; Xia, Chun-mei

  • Author_Institution
    Sch. of Electr. & Autom. Eng., Nanjing Normal Univ., Nanjing, China
  • fYear
    2010
  • Firstpage
    4770
  • Lastpage
    4774
  • Abstract
    This paper describes the dynamical uncertain systems by the Takagi-Sugeno (T-S) fuzzy dynamic model, and proposes a LMI design method of the robust fuzzy sliding mode observer by applying the robust sliding-mode observer design principle based on the singular value decomposition. Firstly, the Lyapunov function is used as the critical condition which ensures the consistent convergence of the designed observers and the asymptotic stability of states estimation, and then, the synthesis arithmetic of robust fuzzy sliding mode observer is designed by using LMI and pole placement approach, which the designed observer parameters are obtained by convex programming techniques for LMIs. Finally, numerical simulation results are presented to demonstrate the design fuzzy sliding mode observer for an inverted pendulum, and its stability is discussed under pole placements.
  • Keywords
    Lyapunov methods; control system synthesis; fuzzy control; linear matrix inequalities; observers; uncertain systems; variable structure systems; LMI design approach; Lyapunov function; Takagi-Sugeno; asymptotic stability; dynamical uncertain systems; fuzzy dynamic model; robust fuzzy sliding mode observer; Automation; Conferences; Fuzzy sets; Observers; Robustness; Stability analysis; Uncertain systems; LMI; fuzzy sliding mode observer; pole placement; uncertain system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554577
  • Filename
    5554577