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Modeling, Simulation, Operation and Control of Discrete Event Systems

Special Issue Information

Dear Colleagues,

Information and computer technologies provide the spur to the burgeoning man-made and highly automated systems where discrete events are a dominant trait, take place frequently, and play an essential role in their operation and management. Nowadays, discrete event dynamic systems, as a natural abstraction of various contemporary technological applications, include intelligent urban traffic systems, automated flexible manufacturing systems, computer networks, communication protocols, logistic systems, monitoring and control of large buildings, scientific and business workflows, distributed databases, and concurrent software systems. The modeling, simulation, operation, and control of discrete event systems are the primary issues to be investigated. It is of paramount significance and importance to develop novel formal frameworks, analysis techniques, design tools, testing methods, and systematic control and optimization procedures for these kinds of man-made, highly complex systems; this is critical for their development and survivability. This Special Issue aims to address the present challenging crux of discrete event systems, such as supervisory control, deadlock analysis, optimal scheduling, resource management, performance evaluation, system identification, and fault diagnosis.

Prof. Dr. Mengchu Zhou
Prof. Dr. Naiqi Wu
Prof. Dr. Yisheng Huang
Prof. Dr. Zhiwu Li
Guest Editors

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Keywords

  • Modeling, simulation, and control of discrete event systems
  • Supervisory control theory and implementation techniques
  • Petri net theory and applications
  • Deadlock prevention, avoidance, and recovery
  • Performance analysis of discrete event systems
  • Deadlock-free scheduling and real-time control
  • Identification, fault diagnosis and opacity enforcement of discrete event systems
  • Petri nets and discrete event systems for smart cites and intelligent transportation
  • Scheduling and optimization of discrete and hybrid systems
  • Energy-efficient supply chain management and event-triggered control

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Appl. Sci. - ISSN 2076-3417