• DocumentCode
    3319867
  • Title

    Identification of MIMO Takagi-Sugeno model of a bioreactor

  • Author

    Pekpe, Komi M. ; Cassar, Jean-Philippe ; Chenikher, Salah

  • Author_Institution
    Univ. des Sci. et Technol. de Lille, Villeneuve-d´´Ascq
  • fYear
    2007
  • fDate
    23-26 July 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The main contribution of this paper is to provide an identification method to a single MIMO (multiple-input multiple-output) Takagi-Sugeno (TS) model for nonlinear MIMO systems. The methods proposed in the literature identify several TS MISO models and this needs the outputs to be separable. But this condition is not necessary in the proposed method. The TS identification method proposed uses the general principle of TS identification method which consist to decomposed a nonlinear system into a set of less complex model. Therefore, the nonlinear systems are decomposed into a set of linear systems and the contribution of each local model is expressed by a weighting function.
  • Keywords
    MIMO systems; biocontrol; bioreactors; fuzzy control; identification; linear systems; nonlinear control systems; MIMO Takagi-Sugeno model; bioreactor; identification method; linear systems; multiple-input multiple-output systems; nonlinear MIMO systems; Biological processes; Biological system modeling; Bioreactors; Fuzzy sets; Linear systems; MIMO; Nonlinear systems; Takagi-Sugeno model; Vectors; Wastewater treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
  • Conference_Location
    London
  • ISSN
    1098-7584
  • Print_ISBN
    1-4244-1209-9
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2007.4295643
  • Filename
    4295643