• DocumentCode
    488278
  • Title

    Learning and Decision-Making for Intelligent Control Systems

  • Author

    Shoureshi, Rahmat

  • Author_Institution
    School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907
  • fYear
    1990
  • fDate
    23-25 May 1990
  • Firstpage
    985
  • Lastpage
    987
  • Abstract
    A historical perspective of machine learning and decision-making is presented. Intelligent control system is defined and differentiated from conventional control systems. Three research studies involving development of intelligent control systems are briefly described. Mechanisms for learning and decision-making schemes in each study are discussed.
  • Keywords
    Automatic control; Automation; Control systems; Decision making; Expert systems; Intelligent control; Logic; Optimal control; Space technology; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1990
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • Filename
    4790884
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=488278