• DocumentCode
    957059
  • Title

    Learning in multiple model adaptive control switch

  • Author

    Lourenço, J. M A ; Lemos, J.M.

  • Author_Institution
    Escola Superior de Tecnologia, Setubal, Portugal
  • Volume
    9
  • Issue
    3
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    24
  • Lastpage
    29
  • Abstract
    Including a learning mechanism in SMMAC (switched, multiple-model adaptive control) avoids the need for a priori knowledge of the model set of the plant to control and leads to a significant performance improvement with respect to the sole inclusion of an adaptive control channel in combination with switched fixed local controllers.
  • Keywords
    adaptive control; controllers; industrial control; learning (artificial intelligence); switches; SMMAC; adaptive control channel; learning mechanism; switched fixed local controllers; switched multiple-model adaptive control; Adaptive control; Control systems; Environmental economics; Instruments; Learning systems; Neuromuscular; Nonlinear dynamical systems; Surgery; Uncertain systems; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Instrumentation & Measurement Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1094-6969
  • Type

    jour

  • DOI
    10.1109/MIM.2006.1637975
  • Filename
    1637975
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=957059