• DocumentCode
    856366
  • Title

    The asymptotic local approach to change detection and model validation

  • Author

    Benveniste, Albert ; Basseville, Michele ; Moustakides, Georges V.

  • Author_Institution
    IRISA/INRIA, Rennex Cedex, France
  • Volume
    32
  • Issue
    7
  • fYear
    1987
  • fDate
    7/1/1987 12:00:00 AM
  • Firstpage
    583
  • Lastpage
    592
  • Abstract
    We present a systematic approach for the design of change detection and model validation algorithms for dynamical systems. We show how to associate to any identification algorithm a change detection and a model validation procedure, which are optimal in some asymptotic sense. The foundations of our method go back to the asymptotic local approach in statistics, and our method generalizes this approach.
  • Keywords
    Adaptive systems; Fault diagnosis; Signal detection; System identification; Adaptive algorithm; Algorithm design and analysis; Automatic control; Change detection algorithms; Error correction; Heuristic algorithms; Monitoring; Signal processing algorithms; Statistics; Testing;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1987.1104683
  • Filename
    1104683
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=856366