Predictability Verification of Fault Patterns in Labeled Petri Nets
This article focuses on the predictability verification problem of fault patterns for both bounded and unbounded discrete event systems modeled with labeled Petri nets. A system is said to be predictable with respect to a fault pattern if any complete fault behavior in a fault pattern can be correctly predicted before its occurrence, where the fault patterns are characterized by a particular composition of a labeled Petri net with a fault pattern net. In this article, we construct a fault pattern predictor net and a basis fault pattern predictor graph (PG) that is based on the notion of basis markings. By exploiting the fault pattern predictor net and basis fault pattern PG, we derive a necessary and sufficient condition to check fault pattern predictability, which does not need the full reachability/coverability graph of a net, thus gaining practical computation benefits.
Authors
- Zhiwu Li (ORCID: https://orcid.org/0000-0003-1547-5503)
- Zhenhua Yu (ORCID: https://orcid.org/0000-0002-7204-3654)
- Maria Pia Fanti (ORCID: https://orcid.org/0000-0002-8612-1852)
- Agostino Marcello Mangini (ORCID: https://orcid.org/0000-0001-6850-6153)
- Xuya Cong (ORCID: https://orcid.org/0000-0003-2851-8111)
Institutions
- Macau University of Science and Technology (MO)
- Polytechnic University of Bari (IT)
Publication Details
- Journal
- IEEE Transactions on Automatic Control
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1109/tac.2024.3477959
- Citations
- 13
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 6.87
Funders
- National Natural Science Foundation of China