DocumentCode
1691295
Title
An approach for modeling and control of a discrete event system
Author
Ghabri, M.-K. ; Ladet, P.
Author_Institution
Lab. d´´Autom. de Grenoble, CNRS, St. Martin d´´Heres, France
Volume
3
fYear
1994
Firstpage
2648
Abstract
In recent years fuzzy sets theory has been widely used in the control of many complex industrial continuous processes. However, there are few researches that have tried to use this theory in the domain of discrete event systems (DESs). In this paper, an approach for modeling and control of a high-speed discrete event system is proposed. This approach consists in the association of a fuzzy controller and a unified formalism based on hybrid Petri nets. The controller consists of a set of local fuzzy controllers which can be linked to a supervisor. Each local fuzzy controller is used to control a specific component of the system. These components are generally multi-inputs single-output processes. The Petri nets model is used to simulate the system and the interactions existing between the system and the controller
Keywords
Petri nets; discrete event systems; fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; intelligent control; modelling; discrete event system; fuzzy controller; fuzzy reasoning; fuzzy sets theory; hybrid Petri nets; modeling; multi-input single-output processes; supervisory control; unified formalism; Control system synthesis; Control systems; Discrete event systems; Electrical equipment industry; Fuzzy control; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Industrial control; Petri nets;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location
Lake Buena Vista, FL
Print_ISBN
0-7803-1968-0
Type
conf
DOI
10.1109/CDC.1994.411547
Filename
411547
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