• DocumentCode
    1126135
  • Title

    Convergence of the signed output error adaptive identifier

  • Author

    Garnett, Jeff ; Dasgupta, Soura ; Johnnson, C.R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
  • Volume
    39
  • Issue
    7
  • fYear
    1994
  • fDate
    7/1/1994 12:00:00 AM
  • Firstpage
    1387
  • Lastpage
    1399
  • Abstract
    This paper considers an adaptive output error identifier with a signum function in its update kernel. It is shown that the classical strict positive real (SPR) condition required for the convergence of traditional adaptive identifiers does not suffice for the convergence of this signed identifier. Instead, what is needed is a stronger operator condition called the strict dominant passive (SDP) condition. We give an analog of the Kalman-Yakubovic-Popov Lemma for the SDP conditions and, using it, give a convergence proof under the assumptions of persistent excitation and SDP
  • Keywords
    convergence; identification; Kalman-Yakubovic-Popov lemma; persistent excitation; signed output error adaptive identifier convergence; signum function; strict dominant passive condition; update kernel; Cities and towns; Convergence; Delay estimation; Equations; Error correction; Kernel; Noise measurement; Parameter estimation; Predictive models; Vectors;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.299619
  • Filename
    299619