• DocumentCode
    2641514
  • Title

    Qualitative reasoning about control

  • Author

    Bratko, Ivan

  • Author_Institution
    Fac. of Electr. Eng. & Comput. Sci., Ljubljana Univ. & J. Stefan Inst., Slovenia
  • fYear
    1993
  • fDate
    27-29 Sep 1993
  • Firstpage
    95
  • Lastpage
    105
  • Abstract
    Qualitative models are better suited for some tasks than the traditional quantitative, or numerical models. These tasks include diagnosis, generating explanation of the system´s behavior and designing novel devices from first principles. It is shown by an example how a qualitative modeling approach can be applied to the control of a dynamic system. The example used is the balancing of a pole on a cart. A control rule is derived from a qualitative model of the pole-and-cart system. This rule is shown to be a straightforward qualitative abstraction of the “classical” control rule derived from the differential equations model of this system
  • Keywords
    common-sense reasoning; control engineering; control engineering computing; differential equations; explanation; control engineering; control rule; diagnosis; differential equations model; dynamic system; explanation; numerical models; pole balancing; pole-and-cart system; qualitative modeling approach; qualitative reasoning; quantitative models; Artificial intelligence; Control engineering; Control system synthesis; Control systems; Differential equations; Mars; Neural networks; Numerical models; Physics; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 1993. Design and Operations of Intelligent Factories. Workshop Proceedings., IEEE 2nd International Workshop on
  • Conference_Location
    Palm Cove-Cairns, Qld.
  • Print_ISBN
    0-7803-0985-5
  • Type

    conf

  • DOI
    10.1109/ETFA.1993.396424
  • Filename
    396424