• DocumentCode
    499065
  • Title

    A descriptor system approach to uncertain fuzzy control system design via fuzzy Lyapunov functions

  • Author

    Gong, Chang-zhong ; Zeng, Xiao-wei

  • Author_Institution
    Coll. of Sci., Civil Aviation Univ. of China, Tianjing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    498
  • Lastpage
    503
  • Abstract
    The problem of stability of uncertain T-S fuzzy system has been studied, and the sufficient conditions, which maintain the stability of the system based on the descriptor representation, has been proved. Then, convert these conditions into LMIs (linear matrix inequalities). Our results reduce computation obviously compared with the previous one. For the more relaxed LMIs conditions, a new fuzzy controller design approach and fuzzy Lyapunov function are given. Finally, a numerical example is given to show the validity and feasibility of the proposed approach.
  • Keywords
    Lyapunov methods; fuzzy control; linear matrix inequalities; uncertain systems; descriptor system approach; fuzzy Lyapunov functions; linear matrix inequalities; uncertain fuzzy control system; Bismuth; Cybernetics; Educational institutions; Fuzzy control; Fuzzy sets; Fuzzy systems; Lyapunov method; Machine learning; Stability; Uncertain systems; Descriptor representation; Fuzzy Lyapunov function; LMI; Uncertain T-S fuzzy system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212555
  • Filename
    5212555