DocumentCode
2334379
Title
Supervision and optimal control of a class of industrial processes
Author
Villa, J.L. ; Duque, M. ; Gauthier, A. ; Rakoto-Ravalontsalama, N.
Author_Institution
Ecole des Mines de Nantes, France
Volume
2
fYear
2003
fDate
16-19 Sept. 2003
Firstpage
177
Abstract
This paper presents a methodological approach of supervision and optimal control of some industrial processes. The modeling formalism used mixed logical and dynamical (MLD) systems framework, and it is used for obtaining a model predictive control (MPC) scheme. The methodology is applied to a water treatment plant in Bogota, Columbia and some preliminary results are presented.
Keywords
optimal control; predictive control; process control; reservoirs; water treatment; Bogota; Columbia; dynamical system framework; industrial processes; logical system framework; model predictive control scheme; optimal control; process supervision; water treatment plant; Electrical equipment industry; Equations; Fault detection; Fault diagnosis; Industrial control; Information security; Mining industry; Optimal control; Predictive control; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies and Factory Automation, 2003. Proceedings. ETFA '03. IEEE Conference
Print_ISBN
0-7803-7937-3
Type
conf
DOI
10.1109/ETFA.2003.1248693
Filename
1248693
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