• DocumentCode
    2128195
  • Title

    Qualitative modelling for intelligent control

  • Author

    Wright, David T. ; William, David J.

  • Author_Institution
    Loughborough Univ. of Technol., UK
  • Volume
    1
  • fYear
    1994
  • fDate
    21-24 March 1994
  • Firstpage
    437
  • Abstract
    This paper considers three themes: an extensive review of the application of qualitative modelling (QM), application of three main types of QM on a case study problem, and consideration of wider industrial and research areas for QM and control. The review introduces QM, explores applications, and the areas of future research work. Further, the paper explores application of 3 different focused methods of QM on a multi-input multi-output case study. Following on, wider industrial issues include questions on: how does object orientation support QM, how does graphics support QM, how does QM fit in with industrial process control needs? Conclusions are drawn. Future work using the findings of the study as a basis for a QM controller of a real non-trivial demonstrator system, and then benchmarking it against a PID controller for the same system is outlined.
  • Keywords
    intelligent control; knowledge representation; multivariable control systems; object-oriented methods; process computer control; MIMO systems; industrial process control; intelligent control; object orientation; qualitative modelling;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Control, 1994. Control '94. International Conference on
  • Conference_Location
    Coventry, UK
  • Print_ISBN
    0-85296-610-5
  • Type

    conf

  • DOI
    10.1049/cp:19940171
  • Filename
    327106