2023
DOI: 10.3390/sym15091775
|View full text |Cite
|
Sign up to set email alerts
|

Depth-First Net Unfoldings and Equivalent Reduction

Xu Yang,
Chen Ye,
Yijun Chen

Abstract: In Petri net unfolding, according to the strategies of breadth first and depth first, the biggest problem lies in the potential explosion of the state space. Unfolding generates either accessible trees or branch processes. Making marking reduction or branch cutting accessible proves to be an effective approach to mitigating the state space expansion. In this paper, we propose three reduction rules based on similarity equivalence, conduct state space reduction, present three theorems supported by a case study, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 34 publications
0
3
0
Order By: Relevance
“…According to the literature [9], the finite termination and correctness of the Petri net reachability tree generation algorithm are performed. Combining the same identification nodes in the reachability tree, the reachability graph algorithm [10][11][12] ensures the limited termination and correctness of the reachability graph generation algorithm.…”
Section: Algorithmmentioning
confidence: 99%
See 2 more Smart Citations
“…According to the literature [9], the finite termination and correctness of the Petri net reachability tree generation algorithm are performed. Combining the same identification nodes in the reachability tree, the reachability graph algorithm [10][11][12] ensures the limited termination and correctness of the reachability graph generation algorithm.…”
Section: Algorithmmentioning
confidence: 99%
“…According to the state equation of the net theory [10][11][12], it is known that M c −stack(top) = A T t, where A T represents the transferred array of the correlation/incidence matrix [9] of the net C. t = f ((stack(top), M c )). Thus, from every two nodes of the RMG (C) and their associated edges, the previous equation of state is used to obtain the net (P c , T c , F c ).…”
Section: Algorithmmentioning
confidence: 99%
See 1 more Smart Citation