DocumentCode :
83041
Title :
Supervisor Localization of Discrete-Event Systems Based on State Tree Structures
Author :
Kai Cai ; Wonham, W.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
Volume :
59
Issue :
5
fYear :
2014
fDate :
May-14
Firstpage :
1329
Lastpage :
1335
Abstract :
Recently we developed supervisor localization, a top-down approach to distributed control of discrete-event systems in the Ramadge-Wonham supervisory control framework. Its essence is the decomposition of monolithic (global) control action into local control strategies for individual agents. In this technical note, we establish a counterpart localization theory in the framework of State Tree Structures, known to be efficient for control design of very large systems. We prove that the collective localized control behavior is identical to the monolithic optimal (i.e. maximally permissive) and nonblocking controlled behavior. Further, we propose a new and more efficient localization algorithm which exploits BDD computation.
Keywords :
binary decision diagrams; discrete event systems; distributed control; multi-robot systems; optimal control; trees (mathematics); BDD computation; Ramadge-Wonham supervisory control framework; binary decision diagram; collective localized control behavior; counterpart localization theory; discrete-event systems; distributed control; individual agents; local control strategies; monolithic control action decomposition; monolithic optimal controlled behavior; nonblocking controlled behavior; state tree structures; supervisor localization; top-down approach; Algorithm design and analysis; Automata; Boolean functions; Data structures; Decentralized control; Discrete-event systems; Supervisory control; Binary decision diagram (BDD); discrete-event systems (DES); state tree structures (STS); supervisor localization;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2013.2289033
Filename :
6656863
Link To Document :
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