• DocumentCode
    1282587
  • Title

    Identification of parametric models from experimental data [Book Review]

  • Author

    Godfrey, K.

  • Author_Institution
    University of Warwick
  • Volume
    44
  • Issue
    12
  • fYear
    1999
  • Firstpage
    2321
  • Lastpage
    2322
  • Abstract
    The authors have produced a scholarly and comprehensive book on parametric model identification, covering the topic in considerably more depth than in previous texts. In their Preface, they state that the book is aimed at two groups of readers. The first consists of students wishing to familiarize themselves with the basic methods for system identification, parameter and state estimation, with the second consisting of researchers or engineers who have to squeeze parameters out of experimental data. This is quite an accurate summary of the potential readership, although the student readership is likely to be at postgraduate level only. The authors also state that they have tried to present the material as accessibly as possible, with the exposition moving from the simple to the more sophisticated. Again, this is true, but even so, it does take quite some effort to follow arguments through in places. The reader is well rewarded for making this effort.
  • Keywords
    Assembly; Biological system modeling; Book reviews; Conferences; Frequency domain analysis; MATLAB; Mathematical model; Parametric statistics; Signal processing; System identification;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1999.811220
  • Filename
    811220