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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Transactions on...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Transactions on Automation Science and Engineering
Article . 2011 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Improvement of Suboptimal Siphon- and FBM-Based Control Model of a Well-Known ${\rm S}^{3}{\rm PR}$

Authors: Chao, D.Y.;

Improvement of Suboptimal Siphon- and FBM-Based Control Model of a Well-Known ${\rm S}^{3}{\rm PR}$

Abstract

Siphon-based deadlock control of Flexible Manufacturing System (FMS) runs faster by avoiding reachability analysis, but reaches fewer states than an optimal. First-met bad marking (FBM) method requires more monitors, but reaches more states by refining some monitors with smaller (hence less disturbed) controller regions. However, the same refinement leads to more monitors for other siphons, which can be combined without losing states. This paper develops the formal theory to uncover the secret behind the above discrepancy. It improves the siphon-based approach to reach more states while using fewer monitors.

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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!
54
Top 10%
Top 10%
Top 10%
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