• DocumentCode
    1743799
  • Title

    The benefits of implicit modelling for predictive control

  • Author

    Rossiter, J.A. ; Kouvaritakis, B. ; Huatuco, L. Huaccho

  • Author_Institution
    Dept. of Math. Sci., Loughborough Univ. of Technol., UK
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    183
  • Abstract
    Traditionally, predictive control is understood to rely on accurate predictions in order to give good control. Here it is shown that in fact one can bypass the prediction model altogether and go straight to an implicit model which represents the parameters of the objective function to be minimised. This is demonstrated to have significant advantages
  • Keywords
    MIMO systems; identification; polynomial matrices; predictive control; SISO systems; implicit modelling; model predictive control; objective function; Adaptive control; Control design; Equations; Filters; Frequency estimation; MIMO; Neural networks; Predictive control; Predictive models; Recursive estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2000.912755
  • Filename
    912755
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1743799