• DocumentCode
    3075158
  • Title

    Robust adaptive control with reduced knowledge of unmodeled dynamics

  • Author

    Tao, Gang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Washington State Univ., Pullman, WA, USA
  • fYear
    1990
  • fDate
    5-7 Dec 1990
  • Firstpage
    3214
  • Abstract
    The author presents a robust model reference adaptive control (RMRAC) scheme for plants with unmodeled dynamics of unknown stability margin. To generate the normalizing signal used in the adaptive law for updating the controller parameters the RMRAC scheme uses a modified algorithm which does not need the knowledge of the stability margin of the unmodeled dynamics. The modified RMRAC scheme guarantees that the closed-loop plant is globally stable in the presence of unmodeled dynamics whose stability margin may be unknown, and the tracking error is bounded by the order of the unmodeled dynamics in the mean and reduces to zero asymptotically with time when the modeling error is absent
  • Keywords
    adaptive control; closed loop systems; dynamics; model reference adaptive control systems; stability; MRAC; RMRAC; closed-loop plant; modeling error; robust model reference adaptive control; robustness; stability margin; unmodeled dynamics; Adaptive control; Algorithm design and analysis; Polynomials; RF signals; Robust control; Signal design; Signal generators; Stability; Transfer functions; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/CDC.1990.203384
  • Filename
    203384