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
Link To Document :
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