• DocumentCode
    801955
  • Title

    System identification using partitioned least squares

  • Author

    Karny, M. ; Warwick, K.

  • Author_Institution
    Inst. of Inf. Theory & Autom., Czech Acad. of Sci., Prague, Czech Republic
  • Volume
    142
  • Issue
    3
  • fYear
    1995
  • fDate
    5/1/1995 12:00:00 AM
  • Firstpage
    223
  • Lastpage
    228
  • Abstract
    A novel partitioned least squares (PLS) algorithm is presented, in which estimates from several simple system models are combined by means of a Bayesian methodology of pooling partial knowledge. The method has the added advantage that, when the simple models are of a similar structure, it lends itself directly to parallel processing procedures, thereby speeding up the entire parameter estimation process by several factors
  • Keywords
    Bayes methods; autoregressive processes; least squares approximations; parameter estimation; Bayesian method; parallel processing; parameter estimation; partitioned least squares; system identification; system models;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:19951877
  • Filename
    392496
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=801955