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
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