• DocumentCode
    2143965
  • Title

    A unified state-space approach to LQG and GPC controllers

  • Author

    Blachuta, M.J.

  • Author_Institution
    Silesian Tech. Univ., Gliwice, Poland
  • Volume
    1
  • fYear
    1996
  • fDate
    2-5 Sept. 1996
  • Firstpage
    66
  • Abstract
    A unified state-space approach to linear quadratic Gaussian (LQG) and generalised predictive controller (GPC) control problems based on state-space representations of ARMAX models and explicit delay performance indices is presented. Links between the state-space and polynomial approaches to prediction and control problems are highlighted. Both the one-stage and infinite horizon solutions can be found within the unified framework.
  • Keywords
    autoregressive moving average processes; control system analysis; linear quadratic Gaussian control; polynomials; predictive control; state-space methods; ARMAX models; control simulation; explicit delay performance indices; generalised predictive control; infinite horizon solution; linear quadratic Gaussian control; one-stage solution; polynomial approach; state-space representations; unified state-space approach;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Control '96, UKACC International Conference on (Conf. Publ. No. 427)
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-668-7
  • Type

    conf

  • DOI
    10.1049/cp:19960528
  • Filename
    651354