• DocumentCode
    2405644
  • Title

    Convergence of the signed output error adaptive identifier

  • Author

    Garnett, Jeffery S. ; Dasgupta, Soura ; Johnson, C.R., Jr.

  • Author_Institution
    Georgia Tech. Res. Inst., Atlanta, GA, USA
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    1750
  • Abstract
    The authors consider an adaptive output error identifier with a signum function in its update kernel. It is shown that the classical strictly positive real (SPR) condition required for the convergence of traditional adaptive identifiers is not enough but that a stronger operator condition called the strict dominant passivity (SDP) condition is needed. An analog of the Kalman Yakubovic Popov lemma is given for the SDP condition, and it is used to outline a convergence proof
  • Keywords
    Lyapunov methods; adaptive control; adaptive filters; convergence; identification; stability criteria; Kalman Yakubovic Popov lemma; Lyapunov function; adaptive output error identifier; convergence; signed output error adaptive identifier; signum function; strict dominant passivity; update kernel; Adaptive filters; Algorithm design and analysis; Cities and towns; Convergence; Equations; Error correction; Kalman filters; Kernel; Signal processing algorithms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0872-7
  • Type

    conf

  • DOI
    10.1109/CDC.1992.371127
  • Filename
    371127