• DocumentCode
    948376
  • Title

    Parameter estimation in uncertain models of nonlinear dynamic systems

  • Author

    Leal, D.J. ; Georgantzis, G. ; Roberts, P.D.

  • Author_Institution
    City University, Department of Systems Science, London, UK
  • Volume
    14
  • Issue
    22
  • fYear
    1978
  • Firstpage
    718
  • Lastpage
    720
  • Abstract
    An extension of the classical least-squares identification technique is described and applied in a digital simulation study of a simple chemical reactor.
  • Keywords
    chemical industry; digital simulation; least squares approximations; nonlinear systems; parameter estimation; chemical reactor; digital simulation study; least squares identification technique; nonlinear dynamic systems; parameter estimation; uncertain models;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19780483
  • Filename
    4242687