Petri Nets in System Modeling
Petri nets are a mathematical formalism for modeling systems where multiple processes can run simultaneously and interact through shared resources, making them particularly well suited for analyzing factories, communication protocols, and distributed software. Researchers use them to ask precise questions: under what conditions will a system reach a state where nothing can proceed (deadlock), and how can a controller be designed to prevent that without unnecessarily restricting normal operation? A parallel concern is fault diagnosis — determining, from observable system behavior alone, whether and where a hidden failure has occurred, a property known as diagnosability. Active work is pushing these analyses toward larger, more complex systems where the state spaces are too vast to examine exhaustively, driving the development of compositional methods, structural shortcuts, and stochastic extensions that can handle uncertainty.
- Works
- 35,350
- Total citations
- 402,916
- Keywords
- Petri NetsDeadlock PreventionSupervisory ControlDiscrete-Event SystemsFault DiagnosisFlexible Manufacturing Systems
Top papers in Petri Nets in System Modeling
Ordered by total citation count.
- Petri nets: Properties, analysis and applications↗ 10,563
- Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks↗ 4,634
- Petri Net theory and the modeling of systems↗ 3,637
- Stability of networked control systems↗ 3,444
- Introduction to Discrete Event Systems↗ 3,389
- Supervisory Control of a Class of Discrete Event Processes↗ 3,347
- Time-delay systems: an overview of some recent advances and open problems↗ 3,308
- Control of systems integrating logic, dynamics, and constraints↗ 3,065
- The control of discrete event systems↗ 2,915
- THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT↗ 2,689
- Priority inheritance protocols: an approach to real-time synchronization↗ 2,247
- Workflow mining: discovering process models from event logs↗ 2,187
Active researchers
Top authors in this area, ranked by h-index.