• DocumentCode
    486986
  • Title

    Designing Control Systems with Knowledge

  • Author

    Sheu, Phillip ; Kashyap, R.L.

  • Author_Institution
    School of Electrical Engineering, Purdue University, West Lafayette, IN 47907
  • fYear
    1987
  • fDate
    10-12 June 1987
  • Firstpage
    941
  • Lastpage
    946
  • Abstract
    It is generally accepted that object-based systems provide a simple and elegant paradigm for general-purpose programming that meshed well with data models. In this paper we propose to use the object computation model as the basis for automatic control system design environment. Typically, an automatic control system design environment consists of a set of control system design experts that cooperate with each other. In addition to experts there are a number of control systems that have been designed or are to be designed. We propose to construct a knowledge base between such an environment and the users of the environment; Consequently a user sees the environment as a large knowledge base, and he or she can create, modify, retrieve, or query the knowledge base through knowledge base operations. Furthermore, the knowledge base can help the users to manage the inter-relationships between entities that reside in the environment, to represent abstract knowledge about control system design, and it can derive more knowledge about a plant once a minimal set of characteristics is provided.
  • Keywords
    Automatic control; Computational modeling; Control system synthesis; Control systems; Data models; Environmental management; Knowledge management; Linear programming; Linear systems; Object oriented modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1987
  • Conference_Location
    Minneapolis, MN, USA
  • Type

    conf

  • Filename
    4789447