• DocumentCode
    1059172
  • Title

    Optimal tracking of time-varying systems with the overdetermined recursive instrumental variable algorithm

  • Author

    Alameda-Hernández, E. ; Blanco, D. ; Ruiz, D.P. ; Carrión, M.C.

  • Author_Institution
    Sch. of Electron. & Electr. Eng., Univ. of Leeds
  • Volume
    1
  • Issue
    1
  • fYear
    2007
  • fDate
    1/1/2007 12:00:00 AM
  • Firstpage
    291
  • Lastpage
    297
  • Abstract
    The stability and the performance of the overdetermined recursive instrumental variable (ORIV) algorithm when tracking non-stationary systems have been studied. In particular, the effect on the system estimation via ORIV of the measurement noise and the non-stationarity of the system has been studied. The optimum value of the forgetting factor, giving the minimum mean square error, is then derived. No independence assumptions are used. Furthermore, a new orthogonality condition is obtained that extracts all the important features of ORIV. Finally, simulations corroborate the analysis.
  • Keywords
    least mean squares methods; stability; time-varying systems; tracking; ORIV; forgetting factor; measurement noise; minimum mean square error; nonstationary system tracking; optimal tracking; orthogonality condition; overdetermined recursive instrumental variable algorithm; system estimation; time-varying systems;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta:20060260
  • Filename
    4079583