Model identification of unobservable behavior of discrete event systems using Petri nets

DOI10.1155/2019/2895685zbMath1416.93132OpenAlexW2925214414MaRDI QIDQ1999265

Yajie Wang, Ya Wang, Guanghui Zhu

Publication date: 26 June 2019

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/2895685

zbMATH Keywords

identificationPetri netsdiscrete event systemsunobservable behavior

Mathematics Subject Classification ID

System identification (93B30) Discrete event control/observation systems (93C65) Observability (93B07) Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.) (68Q85)

Uses Software

• UMDES

Cites Work

• On structural minimality of optimal supervisors for flexible manufacturing systems
• Fault detection for discrete event systems using Petri nets with unobservable transitions
• Fault diagnosis in discrete event systems modeled by partially observed Petri nets
• On-line fault detection in discrete event systems by Petri nets and integer linear programming
• Control of systems integrating logic, dynamics, and constraints
• On the enforcement of a class of nonlinear constraints on Petri nets
• Fault model identification and synthesis in Petri nets
• Real time identification of discrete event systems using Petri nets
• Identification of Petri nets from knowledge of their language
• Introduction to Discrete Event Systems
• Inference of Reversible Languages
• Complexity of automaton identification from given data
• Diagnosability of discrete-event systems
• An Efficient Approach for Online Diagnosis of Discrete Event Systems