• DocumentCode
    2524381
  • Title

    A new fuzzy adaptive law with leakage

  • Author

    Blazic, Saso ; Skrjanc, Igor ; Matko, Drago

  • Author_Institution
    Fac. of Electr. Eng., Univ. of Ljubljana, Ljubljana, Slovenia
  • fYear
    2012
  • fDate
    17-18 May 2012
  • Firstpage
    47
  • Lastpage
    50
  • Abstract
    In this paper a novel adaptive law with leakage is presented. It is shown in the paper that the proposed adaptive law is a natural way to cope with the parasitic dynamics. Moreover, the value of the leakage parameter σ́ is directly related to the norm of the parasitic dynamics. This is the unique property of the proposed adaptive law since this is not the case when using σ-modification, switching σ-modification, or e1-modification. The boundedness of estimated parameters, the tracking error and all the signals in the system is proven if the leakage parameter σ́ satisfies certain condition. This means that the proposed adaptive law ensures the global stability of the system. A simulation example is given that illustrates the proposed approach.
  • Keywords
    adaptive control; fuzzy control; nonlinear control systems; parameter estimation; stability; e1-modification; fuzzy adaptive law; global stability; leakage; nonlinear plant control; parameter estimation; parasitic dynamics; switching s-modification; Adaptation models; Adaptive control; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on
  • Conference_Location
    Madrid
  • Print_ISBN
    978-1-4673-1728-3
  • Electronic_ISBN
    978-1-4673-1726-9
  • Type

    conf

  • DOI
    10.1109/EAIS.2012.6232803
  • Filename
    6232803