• DocumentCode
    488779
  • Title

    MIMO System Identification using Augmented UD Factorization

  • Author

    Niu, Shaohua ; Fisher, D.Grant

  • Author_Institution
    Department of Chemical Engineering, University of Alberta, Edmonton, Alberta, CANADA T6G 2G6
  • fYear
    1991
  • fDate
    26-28 June 1991
  • Firstpage
    699
  • Lastpage
    703
  • Abstract
    An algorithm for estimating the model parameters and structure in a multivariable, input/output system is developed in this paper. It is based on the canonical, state-space representation by Guidorzi and an extension of Bierman´s UD factorization algorithm. The algorithm is easy to interpret, straightforward to implement and also possesses excellent numerical properties.
  • Keywords
    Chemical engineering; Difference equations; Kalman filters; MIMO; Mathematical model; Parameter estimation; Polynomials; State-space methods; System identification; Vectors; Augmented Information Matrix; Parameter Estimation; Structure Identification; UD factorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1991
  • Conference_Location
    Boston, MA, USA
  • Print_ISBN
    0-87942-565-2
  • Type

    conf

  • Filename
    4791462
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=488779