• DocumentCode
    3073947
  • Title

    What is an adaptive-learning system?

  • Author

    Zames, G. ; Wang, L.Y.

  • Author_Institution
    Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
  • fYear
    1990
  • fDate
    5-7 Dec 1990
  • Firstpage
    2861
  • Abstract
    A concept of adaptation for feedback control, which is independent of the internal structure or parametrization of the plant, is introduced. The concept depends on notions of feedback optimality and metric information (entropy). An example is provided in the context of the theory of slowly time-varying systems, which shows that adaptive control can achieve better sensitivity than the optimum for nonadaptive control when information is time-varying
  • Keywords
    adaptive control; feedback; information theory; learning systems; time-varying systems; adaptive control; adaptive systems; entropy; feedback control; learning systems; metric information; time-varying systems; Adaptive control; Adaptive systems; Algebra; Control systems; Feedback control; History; Information entropy; Programmable control; Stability; Time varying systems;
  • 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.1990.203303
  • Filename
    203303
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3073947