DocumentCode :
3206151
Title :
Knowledge based process control
Author :
Rakoto-Ravalontsalama, N.
Author_Institution :
Dept. of Autom. Control, Ecole des Mines, Nantes, France
fYear :
1999
fDate :
1999
Firstpage :
237
Lastpage :
241
Abstract :
A methodology for modeling and simulating a continuous process is presented. This is done by using a knowledge based approach. This approach is not only based on production rules but include also the mathematical model of the process. The results are compared to those from some classical continuous system simulators. The advantage of the use of the knowledge based system is that a reasoning level is available for the intelligent control task
Keywords :
control system CAD; digital simulation; expert systems; inference mechanisms; intelligent control; process control; state-space methods; classical continuous system simulators; continuous process; knowledge based process control; production rules; reasoning level; Biological system modeling; Continuous time systems; Control systems; Expert systems; Intelligent control; Intelligent systems; Knowledge based systems; Mathematical model; Process control; Production systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control/Intelligent Systems and Semiotics, 1999. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Cambridge, MA
ISSN :
2158-9860
Print_ISBN :
0-7803-5665-9
Type :
conf
DOI :
10.1109/ISIC.1999.796661
Filename :
796661
Link To Document :
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