• DocumentCode
    797923
  • Title

    Estimation of pulse transfer function parameters by quasilinearization

  • Author

    Schulz, E.R.

  • Author_Institution
    General Electric Company, Daytona Beach, FL, USA
  • Volume
    13
  • Issue
    4
  • fYear
    1968
  • fDate
    8/1/1968 12:00:00 AM
  • Firstpage
    424
  • Lastpage
    426
  • Abstract
    An iterative algorithm for the identification of single-input single-output linear stationary discrete systems is developed using the method of quasilinearization. The resulting procedure is similar to mode 1 of the method of Steiglitz and McBride but has the advantage of the quadratic convergence property of quasilineariza-tion. It is shown that this algorithm becomes mode 1 if the measured plant output is used in the calculations in place of the model output. Consequently, the two methods are extremely compatible and it is a simple matter to combine them in a single program, which generates its own initial estimates has the wide range of convergence of mode 1, and possesses the quadratic convergence property of quasilineariza-tion for final convergence to a solution. The method also permits the estimation of plant initial conditions in those cases where they must be considered. Results of a few numerical applications are discussed.
  • Keywords
    Parameter estimation; Pulse transfer functions; System identification; Convergence; Current measurement; Gaussian noise; Iterative algorithms; Iterative methods; Kalman filters; Least squares approximation; Maximum likelihood estimation; Transfer functions; Yield estimation;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1968.1098944
  • Filename
    1098944