Optimal sensor selection for diagnosability enforcement of discrete event systems using labeled petr...
Optimal sensor selection for diagnosability enforcement of discrete event systems using labeled petri net
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Publisher
Wiley
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Language
English
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Wiley
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This paper addresses the problem of optimal sensor selection for ensuring diagnosability of discrete event systems. Given a nondiagnosable discrete event system modeled with labeled Petri nets, a new labeling function can be designed to enforce the system to be diagnosable. An ad‐hoc parallel composition of non‐deterministic finite automata (derive...
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Full title
Optimal sensor selection for diagnosability enforcement of discrete event systems using labeled petri net
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TN_cdi_doaj_primary_oai_doaj_org_article_99484d6a4c484befa636837f5f18516d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_99484d6a4c484befa636837f5f18516d
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ISSN
1751-8644
E-ISSN
1751-8652
DOI
10.1049/cth2.12480
