• DocumentCode
    2844334
  • Title

    Alternative parameterisations for predictive control: How and why?

  • Author

    Valencia-Palomo, G. ; Rossiter, J.A. ; Jones, C.N. ; Gondhalekar, R. ; Khan, Bilal

  • Author_Institution
    Inst. Tecnol. de Hermosillo, Hermosillo, Mexico
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    5175
  • Lastpage
    5180
  • Abstract
    This paper looks at the efficiency of the parameterisation of the degrees of freedom within an optimal predictive control algorithm. It is shown that the conventional approach of directly determining each individual future control move is not efficient in general, and can give poor feasibility when the number of degrees of freedom are limited. Two systematic alternatives are explored and both shown to be far more efficient in general.
  • Keywords
    optimal control; predictive control; stochastic processes; Laguerre functions; optimal predictive control algorithm; parameterisation; Matrix decomposition; Optimization; Polynomials; Prediction algorithms; Predictive models; Stability analysis; Systematics; Laguerre functions; MPC; feasibility volumes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5990639
  • Filename
    5990639
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2844334