Discrete Event Dynamic Systems: Theory and Applications

Aims & Scope

The research on discrete event dynamic systems (DEDSs) is multi-disciplinary in nature and its development has been dynamic.

Examples of DEDSs include manufacturing plants, communication networks, computer systems, management information databases, logistics systems, command-control-communication systems, robotics, and other man-made operational systems.

The state processes of such systems cannot be described by differential equations in general.

The aim of this journal, Discrete Event Dynamic Systems: Theory and Applications, is to publish high-quality, peer-reviewed papers on the modeling and control of, and all other aspects related to, DEDSs.

In particular, the journal publishes papers dealing with general theories and methodologies of DEDSs and their applications to any particular subject, including hybrid systems, as well as papers discussing practical problems from which some generally applicable DEDS theories or methodologies can be formulated; The scope of this journal is defined by its emphasis on discrete events and the dynamic nature of the systems and on their modeling, control and optimization.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.6
2024	1.40

SJR (SCImago Journal Rank)

Year	Value
2024	0.559

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	53

Journal Rank

Year	Value
2024	10410

Journal Citation Indicator

Year	Value
2024	103

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization

  Citation: 590

  Authors: Chun-Hung, Jianwu, Enver, Stephen E.

• Recent Advances in Hierarchical Reinforcement Learning

  Citation: 416

  Authors: Andrew G., Sridhar

• Coordinated Decentralized Protocols for Failure Diagnosis of Discrete Event Systems

  Citation: 353

  Authors: Rami, Stéphane, Demosthenis

• A Survey of Petri Net Methods for Controlled Discrete Event Systems

  Citation: 335

  Authors: L. E., B. H., A.

• Ordinal optimization of DEDS

  Citation: 290

  Authors: Y. C., R. S., P.

• Diagnosability of discrete event systems and its applications

  Citation: 283

  Authors: Feng

• Recent Advances in Hierarchical Reinforcement Learning

  Citation: 268

  Authors: Andrew G., Sridhar

• Hierarchical control of discrete-event systems

  Citation: 205

  Authors: K. C., W. M.

• Comparative analysis of related notions of opacity in centralized and coordinated architectures

  Citation: 192

  Authors: Yi-Chin, Stéphane

• A General Architecture for Decentralized Supervisory Control of Discrete-Event Systems

  Citation: 175

  Authors: T.-S., Stéphane

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