• DocumentCode
    3413119
  • Title

    Adaptive model algorithmic control

  • Author

    Xing, Lei ; Datta, Aniruddha

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    4155
  • Abstract
    Considers the design and analysis of a robust adaptive model algorithmic controller based on the internal model control structure. The certainty equivalence principle of adaptive control is used to combine a discrete-time robust adaptive law with a model algorithmic internal model controller to obtain an adaptive model algorithmic internal model control scheme with provable guarantees of stability and robustness. The approach used parallels the earlier results obtained for adaptive internal model control. Nevertheless, there are some important differences which, together with the widespread interest in model algorithmic control, justifies a separate exposition
  • Keywords
    adaptive control; control system analysis; control system synthesis; discrete time systems; predictive control; robust control; adaptive model algorithmic control; certainty equivalence design; discrete-time robust adaptive law; internal model control; robustness; Adaptive control; Algorithm design and analysis; Constraint optimization; Context modeling; Error correction; Predictive models; Process design; Programmable control; Robust control; Robust stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2001. Proceedings of the 2001
  • Conference_Location
    Arlington, VA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-6495-3
  • Type

    conf

  • DOI
    10.1109/ACC.2001.945627
  • Filename
    945627