• DocumentCode
    816295
  • Title

    A recursive (on-line) maximum likelihood identification method

  • Author

    Gertler, Janos ; Banyasz, C.

  • Author_Institution
    Institute for Computing and Automation, Hungarian Academy of Sciences, Budapest, Hungary
  • Volume
    19
  • Issue
    6
  • fYear
    1974
  • fDate
    12/1/1974 12:00:00 AM
  • Firstpage
    816
  • Lastpage
    820
  • Abstract
    A recursive (on-line) identification algorithm is developed based upon the off-line maximum likelihood method by Åström and Bohlin. The basic idea of the algorithm consists in two modifications to the classical method. First an approximate noisemodel is applied to eliminate auto-regressive filtering in the computation of the noise-derivatives. Second, some approximations are introduced to make the direct recursive version of the iteration equations really on-line. The combination of the two modifications yields a compact on-line algorithm.
  • Keywords
    Linear systems, time-invariant discrete-time; Parameter identification; Recursive estimation; maximum-likelihood (ML) estimation; Equations; Filtering; Helium; Maximum likelihood estimation; Measurement standards; Noise measurement; Parameter estimation; Polynomials; Read only memory; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1974.1100722
  • Filename
    1100722