• DocumentCode
    798237
  • Title

    Algorithm for extended least-squares model reduction

  • Author

    Aguirre, L.A.

  • Author_Institution
    Centro de Pesquisa e Desenvolvimento em Engenharia Eletrica, Univ. Federal de Minas Gerais, Belo Horizonte, Brazil
  • Volume
    31
  • Issue
    22
  • fYear
    1995
  • fDate
    10/26/1995 12:00:00 AM
  • Firstpage
    1957
  • Lastpage
    1959
  • Abstract
    A new algorithm is presented to determine the numerator of a reduced-order model by means of least-squares (LS) techniques. The only requirement is that the simplified denominator should be previously determined. The new algorithm seems quite relevant in the light of a recent Letter by Smith and Lucas (see ibid., vol.31, no. 11, p. 929-930, 1995) in which it was shown that the LS estimation of numerator coefficients is not achieved using other LS procedures
  • Keywords
    estimation theory; least squares approximations; reduced order systems; LS estimation; least-squares model reduction; numerator coefficients; numerator determination algorithm; reduced-order model;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19951311
  • Filename
    490686