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IEEE Transactions on Automatic Control
Article . 1998 . Peer-reviewed
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Discrete event control of nondeterministic systems

Discrete-event control of nondeterministic systems
Authors: Michael Heymann; Feng Lin;

Discrete event control of nondeterministic systems

Abstract

Summary: Nondeterminism in discrete-event systems occurs in many practical situations and often as a result of partial observability of events. For the adequate description of nondeterministic systems and nondeterministic phenomena, the trajectory-model formalism was introduced. This formalism has been used in [\textit{M. Shayman} and \textit{R. Kumar}, SIAM J. Control Optim. 33, No. 2, 469-497 (1995; Zbl 0819.93003)] for obtaining various results on supervisory control of nondeterministic systems subject to language specifications. In the present paper we develop a theory of supervisory control for nondeterministic discrete-event systems subject to both language and trajectory-model specifications. We further show how well-known algorithms for supervisory control (of deterministic systems) under partial observation can be adapted for synthesis of supervisors for nondeterministic systems subject to both language and trajectory-model specifications.

Keywords

nondeterminism, Hierarchical systems, trajectory-model, supervisory control, Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems), Stochastic systems in control theory (general), discrete-event systems

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
68
Top 10%
Top 10%
Average
bronze