• DocumentCode
    1303844
  • Title

    Better M sequence design for parameter identification based on EKF

  • Author

    Ohtsuke, K.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Akita Univ.
  • Volume
    145
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    92
  • Lastpage
    96
  • Abstract
    The paper discusses a better form of the M sequence input used for the parameter identification based on the EKF. The degree of observability is measured by maximising the expected determinant of the observability Gramian and is employed to get a better M sequence input. The effectiveness of the design is illustrated in a DC servomotor parameter estimation problem. The better M sequence inputs are different from each other, depending on unknown parameters
  • Keywords
    Kalman filters; nonlinear filters; observability; parameter estimation; sequences; DC servomotor; EKF; M sequence design; degree of observability; extended Kalman filter; observability Gramian; parameter identification;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:19981581
  • Filename
    656131