Modeling and Control of Discrete Event Systems
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 20 July 2026 | Viewed by 1017
Special Issue Editors
Interests: discrete event systems; petri net; consensus algorithms; networked and control systems; management and modelling of logistic systems; automated manufacturing systems; automatic guided vehicle systems; traffic networks; healthcare systems
Special Issues, Collections and Topics in MDPI journals
Interests: Petri net theory and application; supervisory control of discrete event systems; workflow analysis; system reconfiguration; game theory; production scheduling and planning; data and process mining
Special Issues, Collections and Topics in MDPI journals
Interests: smart cities; planning; smart buildings; smart grids; intelligent transportation systems; Petri nets; optimization; autonomous vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: model predictive control; reinforcement learning; connected and automated vehicles; electric vehicles; renewable energy systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Discrete event systems (DESs) provide a formal basis for modeling and analyzing event-driven processes in diverse fields, including manufacturing, healthcare, transportation, and logistics. Petri nets and automata are DES formalisms that are able to capture concurrency, synchronization, and resource allocation, enabling accurate system representation and performance evaluation. As modern interconnected systems in cyber–physical environments grow in scale and complexity, it is unavoidable to address increasingly complex cybersecurity threats that demand robust detection and defense mechanisms. Simultaneously, leveraging AI-driven applications for advanced decision-making and optimization poses a distinct challenge, requiring novel algorithms and methods to handle the massive scale and evolving complexity of real-world systems.
This Special Issue aims to spotlight novel theoretical developments and practical methodologies that enhance cybersecurity and AI-driven applications in modeling and that control discrete event systems. We welcome contributions on advanced techniques for attack detection and mitigation, observation-based property verification methods under adversarial conditions, and strategies for intelligent decision-making. By bringing together academia and industry, this Special Issue seeks to foster interdisciplinary collaboration and drive innovation in building more resilient, adaptive, and efficient event-driven systems.
Sub-topics include, but are not limited to, the following:
- Petri net modeling and analysis;
- Automata modeling and analysis;
- Attack detection and mitigation strategies;
- Formal verification and supervisory control for security;
- AI-driven approaches for dynamic optimization and control;
- Applications in cyber–physical systems;
- Integration of AI algorithms and security protocols in real-world systems.
Prof. Dr. Maria Pia Fanti
Prof. Dr. Zhiwu Li
Dr. Agostino Marcello Mangini
Dr. Jun Chen
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- discrete event systems
- Petri net modeling and analysis
- AI-driven approaches
- control and optimization
- cybersecurity in discrete event systems
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