• DocumentCode
    1717376
  • Title

    Recursive subspace identification of linear and nonlinear Wiener type models

  • Author

    Lovera, Marco ; Verhaegen, Michel

  • Author_Institution
    Dipt. di Elettronica, Politecnico di Milano, Italy
  • Volume
    2
  • fYear
    1998
  • Firstpage
    1250
  • Abstract
    The problem of recursive subspace identification is considered and recursive formulations for the algorithms of the MOESP class are given. As a by-product, a recursive algorithm for the identification of nonlinear models of the Wiener type is also obtained
  • Keywords
    Toeplitz matrices; linear systems; nonlinear systems; observability; recursive estimation; state-space methods; Toeplitz matrix; Wiener type models; linear models; nonlinear models; observability; recursive algorithm; recursive subspace identification; state space; Equations; Matrix decomposition; Measurement errors; Noise measurement; Observability; Recursive estimation; State-space methods; Time measurement; White noise; Yttrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Trieste
  • Print_ISBN
    0-7803-4104-X
  • Type

    conf

  • DOI
    10.1109/CCA.1998.721659
  • Filename
    721659
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1717376