DocumentCode :
1464357
Title :
Model Abstraction of Nondeterministic Finite-State Automata in Supervisor Synthesis
Author :
Su, Rong ; Van Schuppen, Jan H. ; Rooda, Jacobus E.
Author_Institution :
Sch. of Electr. & Electron. Enginnering, Nanyang Technol. Univ., Singapore, Singapore
Volume :
55
Issue :
11
fYear :
2010
Firstpage :
2527
Lastpage :
2541
Abstract :
Blockingness is one of the major obstacles that need to be overcome in the Ramadge-Wonham supervisory synthesis paradigm, especially for large systems. In this paper, we propose an abstraction technique to overcome this difficulty. We first provide details of this abstraction technique, then describe how it can be applied to a supervisor synthesis problem, where plant models are nondeterministic but specifications and supervisors are deterministic. We show that a nonblocking supervisor for an abstraction of a plant under a specification is guaranteed to be a nonblocking supervisor of the original plant under the same specification. The reverse statement is also true, if we impose an additional constraint in the choice of the alphabet of abstraction, i.e., every event, which is either observable or labels a transition to a marker state, is contained in the alphabet of abstraction.
Keywords :
collision avoidance; discrete event systems; finite state machines; large-scale systems; Blockingness; Ramadge-Wonham supervisory synthesis problem; discrete event systems; large-scale systems; marker state; model abstraction technique; nondeterministic finite state automata; obstacle avoidance; plant models; Automata; Automatic control; Control system synthesis; Independent component analysis; Jacobian matrices; Mechanical engineering; Postal services; Supervisory control; Systems engineering and theory; Testing; Automaton abstraction; discrete-event systems; nondeterministic finite-state automata; supervisor synthesis;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2010.2046931
Filename :
5443758
Link To Document :
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