• DocumentCode
    315317
  • Title

    L2 robust stability analysis for the fuzzy feedback linearization regulator

  • Author

    Kang, Hyung-Jin ; Kwon, Cheol ; Yee, Yang-Hee ; Park, Mignon

  • Author_Institution
    Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea
  • Volume
    1
  • fYear
    1997
  • fDate
    1-5 Jul 1997
  • Firstpage
    277
  • Abstract
    Using Takagi-Sugeno fuzzy model, feedback linearisation which is widely used in nonlinear control theory can be applied to fuzzy control. If perfect linearization can be obtained, the stability can be analysed by linear system theory. However, since modeling uncertainty and disturbance affect the stability, the robust stability analysis is needed to deal with uncertainty. In this paper, the sufficient L2 robust stability condition is derived from the multivariable circle criterion. A simple example illustrates the proposed method
  • Keywords
    feedback; fuzzy control; limit cycles; linearisation techniques; multivariable control systems; nonlinear systems; robust control; L2 control; SISO nonlinear systems; Takagi-Sugeno fuzzy model; feedback linearization; fuzzy control; modeling uncertainty; multivariable circle criterion; robust stability; sufficient condition; Adaptive control; Electronic mail; Feedback; Fuzzy control; Programmable control; Regulators; Robust stability; Stability analysis; Takagi-Sugeno model; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-3796-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.1997.616381
  • Filename
    616381
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=315317