CANDIDE: a learning system for process control

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CANDIDE: a learning system for process control

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International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1 table of contents

Tullahoma, Tennessee, United States

Pages: 270 - 277

Year of Publication: 1989

ISBN:0-89791-320-5

Authors

B. Burg	ICOT 4-28 Mita 1-Chome Minato-ku, 108 Tokyo JAPAN
D. Luzeaux	E.T.C.A./C.R.E.A. 16 bis avenue Prieur de la C6te d'or 94114 ARCUEIL
B. Zavidovique	I.E.F./E.T.C.A. PARIS ll-Orsay

Sponsor

SIGART: ACM Special Interest Group on Artificial Intelligence

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ACM New York, NY, USA

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ABSTRACT

The aim of this paper is to present an application of artificial intelligence techniques to control. Their use at a high level, as supervisor tools is shortly described and we focuse the attention onto their use at low level, inside the control loops. We describe our approach using artificial intelligence machine learning to acquire knowledge concerning the controlled system, to modelise it and finally to control it. As an example, CANDIDE learns to drive a car. We explain all the learning steps and shows the obtained results.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	3	Burg, B. 88. Doctoral dissertation.
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