A Reachability-Decidable Petri Net Modeling Method for Discrete Event Systems

Petri nets (PNs) are graphical and mathematical tools used to model a variety of discrete event systems and analyze their properties. Reachability is their fundamental property that is undecidable for PNs in general and has exponential complexity with respect to net size. One of the possible computation techniques of reachable states (markings) is based on the determination of legal firing sequences (LFSs) that correspond to a non-negative integer solutions (NISs) of a state equation. Our previous work has proposed an algorithm to decide the existence of LFSs corresponding to an NIS in polynomial time. However, it is impossible to check all NISs to decide a marking’s reachability in the case of an infinite number of NISs in a state equation. Hence, this work studies the relationship between the structure of a PN and the number of NISs of its state equation. Furthermore, an innovative method is proposed to modify its structure such that its state equation has no more than one NIS. The relationship between the properties of a PN and its modified one is studied in this article. We conclude that we can modify its structure while maintaining the function of the modeled system such that the reachability of the model can be decided in polynomial time. This can be viewed as a breakthrough result in the area of PN theory and applications. The correctness and time efficiency of the algorithm are verified by case studies and experiments. This work is important in putting PNs into the industrial use.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2024-10-28
DOI
https://doi.org/10.1109/tsmc.2024.3473851
Citations
21
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
11.10

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article

A Reachability-Decidable Petri Net Modeling Method for Discrete Event Systems

Remigiusz Wiśniewski, Liang Qi, Yue Su, MengChu Zhou
21 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Business Process Modeling and Analysis
11.10
article

A Reachability-Decidable Petri Net Modeling Method for Discrete Event Systems

Remigiusz Wiśniewski, Liang Qi, Yue Su, MengChu Zhou
article en
21 citations

Abstract

Petri nets (PNs) are graphical and mathematical tools used to model a variety of discrete event systems and analyze their properties. Reachability is their fundamental property that is undecidable for PNs in general and has exponential complexity with respect to net size. One of the possible computation techniques of reachable states (markings) is based on the determination of legal firing sequences (LFSs) that correspond to a non-negative integer solutions (NISs) of a state equation. Our previous work has proposed an algorithm to decide the existence of LFSs corresponding to an NIS in polynomial time. However, it is impossible to check all NISs to decide a marking’s reachability in the case of an infinite number of NISs in a state equation. Hence, this work studies the relationship between the structure of a PN and the number of NISs of its state equation. Furthermore, an innovative method is proposed to modify its structure such that its state equation has no more than one NIS. The relationship between the properties of a PN and its modified one is studied in this article. We conclude that we can modify its structure while maintaining the function of the modeled system such that the reachability of the model can be decided in polynomial time. This can be viewed as a breakthrough result in the area of PN theory and applications. The correctness and time efficiency of the algorithm are verified by case studies and experiments. This work is important in putting PNs into the industrial use.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(1)
Macau University of Science and Technology (MO), New Jersey Institute of Technology (US), University of Zielona Góra (PL), Shandong University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Climate action
Openalex Percentile: Top 1%
Business Process Modeling and Analysis
11.10
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