• DocumentCode
    696998
  • Title

    Linear in parameters identifiability of extended bilinear systems

  • Author

    Schrempf, A. ; del Re, L.

  • Author_Institution
    Dept. for Design & Control of Mechatron. Syst., Johannes Kepler Univ., Linz, Austria
  • fYear
    2001
  • fDate
    4-7 Sept. 2001
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A new model class is proposed to use for identification purposes, which is able to approximate many nonlinear systems quite accurately. Conditions are given for the system to be representable by a linear-in-parameters equation, which allows to use effective linear methods to solve the identification problem. Finally an example is provided to illustrate the use of the proposed model class for identification purposes.
  • Keywords
    bilinear systems; identification; extended bilinear systems; identification problem; linear-in-parameters equation; model class; nonlinear systems; parameters identifiability; Approximation methods; Equations; Mathematical model; Noise measurement; Nonlinear systems; Vectors; System Identification; nonlinear discrete-time systems; subspace methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2001 European
  • Conference_Location
    Porto
  • Print_ISBN
    978-3-9524173-6-2
  • Type

    conf

  • Filename
    7075852