• DocumentCode
    845821
  • Title

    Bilinear system identification by Volterra kernels estimation

  • Author

    Inagaki, Makato ; Mochizuki, Hitoshi

  • Author_Institution
    Niigata University, Niigata, Japan
  • Volume
    29
  • Issue
    8
  • fYear
    1984
  • fDate
    8/1/1984 12:00:00 AM
  • Firstpage
    746
  • Lastpage
    749
  • Abstract
    This note considers the identification of bilinear discrete-time dynamic systems from sequences of input and noise corrupted output measurements. In contrast to other approaches, the proposed algorithm is simple and does not require knowledge of the noise statistics. It is also shown that the obtained estimates are unbiased and consistent, which is not shown in the previous papers.
  • Keywords
    Bilinear systems; System identification, nonlinear systems; Volterra series; Controllability; Equations; Erbium; Finite impulse response filter; Gold; Kernel; Nonlinear systems; Observability; Reduced order systems; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1984.1103630
  • Filename
    1103630
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=845821