DocumentCode :
1413331
Title :
Synthesis of Structurally Simple Supervisors Enforcing Generalized Mutual Exclusion Constraints in Petri Nets
Author :
Li, ZhiWu ; Yan, Mingming ; Zhou, MengChu
Author_Institution :
Autom. Technol. Lab., Martin-Luther Univ. of Halle-Wittenberg, Halle, Germany
Volume :
40
Issue :
3
fYear :
2010
fDate :
5/1/2010 12:00:00 AM
Firstpage :
330
Lastpage :
340
Abstract :
Generalized mutual exclusion constraints (GMECs) are a typical class of specifications for the supervisory control of discrete event systems in a Petri net formalism. This paper classifies the given constraints into elementary and dependent ones according to the linear dependency of their characteristic transition vectors that indicate the token count change of the concerned places. The dependent constraints are further divided into strongly and weakly dependent ones. A constraint is usually enforced by explicitly adding a monitor to a plant model. This research develops the conditions under which a dependent constraint is enforced due to the enforcement of the elementary constraints. The results developed in this paper are applied to the existing manufacturing-oriented Petri net classes. An algorithm is also proposed to identify a set of elementary constraints. Examples are used to demonstrate the proposed methods. Some potential extensions and applications are also discussed. This research improves the existing methods in computational efficiency and structure simplification of the supervisor, given a set of GMECs.
Keywords :
Petri nets; discrete event systems; vectors; Petri nets; characteristic transition vectors; discrete event systems; generalized mutual exclusion constraints; supervisory control; Automated manufacturing system; Petri net; discrete event systems; elementary and dependent constraints; generalized mutual exclusion constraint (GMEC); monitor;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
Publisher :
ieee
ISSN :
1094-6977
Type :
jour
DOI :
10.1109/TSMCC.2009.2037824
Filename :
5409629
Link To Document :
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