• DocumentCode
    1751628
  • Title

    Techniques to improve the regressor matrix condition for real-time parameter identification

  • Author

    Ngo, Anhtuan D. ; Doman, David B.

  • Author_Institution
    VACA, Air Force Res. Lab., Wright-Patterson AFB, OH, USA
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3690
  • Abstract
    In this paper, on-line parameter identification algorithms that consider the collinearity of the system measurements are presented. Using null-space injection and regularized linear regression with stochastic constraints, the proposed methods improve the estimates of the system parameters
  • Keywords
    linear systems; parameter estimation; stochastic processes; collinearity; null-space injection; real-time parameter identification; regressor matrix condition; regularized linear regression; stochastic constraints; system measurements; system parameters; Acceleration; Control systems; Equations; Laboratories; Parameter estimation; Real time systems; Stability; System identification; Vehicles; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2001. Proceedings of the 2001
  • Conference_Location
    Arlington, VA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-6495-3
  • Type

    conf

  • DOI
    10.1109/ACC.2001.946208
  • Filename
    946208
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1751628