Petri Net-Based Modeling on Operational and Structural Dynamics
Chen Peng (),
Hongfeng Wang (),
Yi Yang () and
Yong Zhang ()
Additional contact information
Chen Peng: Shanghai University, School of Mechatronic Engineering and Automation
Hongfeng Wang: Northeastern University
Yi Yang: Shanghai University
Yong Zhang: China University of Mining and Technology, School of Information and Control Engineering
Chapter Chapter 4 in Modeling and Resilience Recovery for Disrupted Supply Chain, 2026, pp 69-89 from Springer
Abstract:
Abstract This chapter addresses supply chain network (SCN) hybrid modeling and fuzzy control under disruptions via Petri nets (PNs). A T-S fuzzy operational model integrating delivery rate regulation experience is established, and a unified PN-based model is developed to visualize continuous operations and discrete disruptions. Fuzzy control criteria are derived through Lagrange-Lyapunov stability analysis on hybrid markings. A hydrogen SCN case validates the effectiveness and superiority of proposed methods in mitigating disruptions and stabilizing operations.
Keywords: fuzzy control; Petri nets; delivery rate; hydrogen supply; hybrid markings (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-4901-6_4
Ordering information: This item can be ordered from
http://www.springer.com/9789819549016
DOI: 10.1007/978-981-95-4901-6_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().