• DocumentCode
    3458064
  • Title

    The theory and design of adaptive internal model control schemes

  • Author

    Datta, Aniruddha ; Xing, Lei

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    6
  • fYear
    1998
  • fDate
    21-26 Jun 1998
  • Firstpage
    3677
  • Abstract
    Develops a systematic theory for the design and analysis of adaptive internal model control schemes. The ubiquitous certainty equivalence principle of adaptive control is used to combine a robust adaptive law with robust internal model controllers to obtain adaptive internal model control schemes with provable guarantees of stability and robustness. Specific controller structures considered include those of the model reference, “partial” pole placement, and H2 and H optimal control types. The results here not only provide a theoretical basis for analytically justifying some of the reported industrial adaptive internal model control schemes but also open up the possibility of synthesizing new ones by simply combining a robust adaptive law with a robust internal model controller structure
  • Keywords
    H control; adaptive control; control system analysis; control system synthesis; pole assignment; process control; robust control; H optimal control; H2 control; adaptive internal model control schemes; certainty equivalence principle; model reference partial pole placement; robust adaptive law; stability; Adaptation model; Adaptive control; Error correction; Industrial control; Open loop systems; Optimal control; Process control; Programmable control; Robust control; Robust stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1998. Proceedings of the 1998
  • Conference_Location
    Philadelphia, PA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-4530-4
  • Type

    conf

  • DOI
    10.1109/ACC.1998.703301
  • Filename
    703301