• DocumentCode
    300739
  • Title

    Ellipsoid algorithms for parameter set estimation of time-varying systems

  • Author

    Watkins, J.M. ; Yurkovich, S.

  • Author_Institution
    Control Res. Lab., Ohio State Univ., Columbus, OH, USA
  • Volume
    4
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    2554
  • Abstract
    In this paper, we extend an optimum volume ellipsoid algorithm for parameter set estimation (PSE) of time-invariant systems to time-varying systems. We show how knowledge of dependencies in the parameter variations can be exploited to reduce the number of computations in the resulting algorithm. Finally, scalar bound inflation, a second strategy for PSE of time-varying systems, is optimized, and a comparison of the two algorithms is made
  • Keywords
    parameter estimation; time-varying systems; optimum volume ellipsoid algorithm; parameter set estimation; parameter variation dependencies; scalar bound inflation; time-varying systems; Adaptive control; Computational complexity; Control systems; Ellipsoids; Equations; Parameter estimation; Robust control; Signal processing algorithms; State estimation; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, Proceedings of the 1995
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2445-5
  • Type

    conf

  • DOI
    10.1109/ACC.1995.532308
  • Filename
    532308