• DocumentCode
    855663
  • Title

    A frequency response-based model order selection criterion

  • Author

    Cloud, David J. ; Kouvaritakis, Basil

  • Author_Institution
    Dept. of Eng. Sci., Oxford Univ., UK
  • Volume
    33
  • Issue
    6
  • fYear
    1988
  • fDate
    6/1/1988 12:00:00 AM
  • Firstpage
    582
  • Lastpage
    585
  • Abstract
    The use of weighting sequence models to describe the dynamics of physical systems provides an effective means of translating the uncertainty associated with the model parameter estimates derived from noisy input/output data into corresponding frequency response-uncertainty information. However, an appropriate truncation level must be established to accomplish this task. The truncation problem is addressed from a frequency response perspective, and a criterion based on frequency response considerations is proposed for selecting the proper truncation
  • Keywords
    frequency response; modelling; parameter estimation; frequency response-based model order selection criterion; frequency response-uncertainty information; modelling; parameter estimation; truncation; weighting sequence models; Clouds; Councils; Frequency estimation; Frequency response; Least squares approximation; Noise measurement; Parameter estimation; Testing; Uncertainty; White noise;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.1258
  • Filename
    1258