• DocumentCode
    337594
  • Title

    Behavioral model identification

  • Author

    Johansson, Rolf ; Verhaegen, Michel ; Chou, Chun Tung ; Robertsson, Anders

  • Author_Institution
    Dept. of Autom. Control, Lund Univ., Sweden
  • Volume
    1
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    126
  • Abstract
    This paper presents theory and algorithms for system identification suitable for the framework of behavioral system theory. An algorithm based on algebraic system theory and realization theory (Ho-Kalman realization) in a subspace model identification framework is presented. The novel approach considered consists of the formulation of input-output data as an impulse response model and the subsequent application of state-space realization. As a special case, behavioral model identification from finite data sequences is demonstrated
  • Keywords
    MIMO systems; identification; state-space methods; transient response; MIMO systems; behavioral model; behavioral system theory; impulse response; input-output data; state-space model; subspace model; system identification; Context modeling; Control engineering; Data analysis; Fitting; Linear systems; Mathematical model; Matrix decomposition; Power system modeling; Regression analysis; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.760602
  • Filename
    760602