• DocumentCode
    2164813
  • Title

    Frequency domain identification of MIMO state space models using the EM algorithm

  • Author

    Aguero, Juan C. ; Yuz, Juan I. ; Goodwin, Graham C.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Newcastle, NSW, Australia
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    5686
  • Lastpage
    5693
  • Abstract
    In this paper we consider the problem of estimating a state-space model for Multiple-Input Multiple-Output systems. We show how the Expectation-Maximisation algorithm can be used in the frequency domain to obtain a Maximum Likelihood estimate for state-space models. This method can be applied to obtain robust estimates of the model focusing on a specific frequency band of the input/output data spectra. The proposed method can be used to identify systems excited with general input signals and it is able to deal with transients responses.
  • Keywords
    MIMO systems; expectation-maximisation algorithm; frequency-domain analysis; state-space methods; EM algorithm; MIMO state space model; expectation-maximisation algorithm; frequency domain identification; input-output data spectra; maximum likelihood estimate; multiple-input multiple-output system; Approximation algorithms; Biological system modeling; Data models; Frequency-domain analysis; Mathematical model; Maximum likelihood estimation; Time-domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7068691