• DocumentCode
    3079691
  • Title

    Parameter identification for nonlinear systems

  • Author

    Bortoff, Scott A. ; Spong, Mark W.

  • Author_Institution
    Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
  • fYear
    1990
  • fDate
    5-7 Dec 1990
  • Firstpage
    772
  • Abstract
    Preliminary results from an investigation into identification of parameters appearing nonlinearly in system dynamics are presented. After presentation of background material on identifiability of such systems, an identifier based on the extended Luenberger observer is constructed for a class of nonlinear systems. Conditions sufficient for global convergence of its parameter estimates are discussed. An example illustrates the identifier´s construction, and computer simulation results depict the parameter estimate´s global exponential convergence
  • Keywords
    convergence of numerical methods; dynamics; nonlinear systems; parameter estimation; state estimation; Luenberger observer; convergence; identification; nonlinear systems; parameter estimation; system dynamics; Convergence; Cost function; Minimization methods; Nonlinear systems; Observability; Parameter estimation; Real time systems; Shape; State estimation; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/CDC.1990.203693
  • Filename
    203693