Petri nets for modeling of dynamic systems—a survey
Automatica (Journal of IFAC)
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Comparison of Hybrid Systems and Fluid Stochastic PetriNets
Discrete Event Dynamic Systems
Generalised Batches Petri Net: Hybrid Model For High SpeedSystems With Variable Delays
Discrete Event Dynamic Systems
Design, Simulation, and Implementation of Hybrid Systems
Proceedings of the 20th International Conference on Application and Theory of Petri Nets
FSPNs: Fluid Stochastic Petri Nets
Proceedings of the 14th International Conference on Application and Theory of Petri Nets
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Discrete, Continuous, and Hybrid Petri Nets
Discrete, Continuous, and Hybrid Petri Nets
Co-simulation in large scale environments using the HPNS framework
Proceedings of the 2010 Conference on Grand Challenges in Modeling & Simulation
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Modelling technical systems nowadays is a great challenge of automation technology. Particular complex manufacturing processes, like the industrial paper production, consists of discrete and continuous signals and dynamic response times. Inspired by Petri nets, this paper proposes a new modelling approach is presented to describe those technical systems on different abstraction layer. The hybrid process net simulator (HPNS) framework allows to specify complex models, typically represented as a system of differential equations mixed with continuous and discrete-event subsystems, based on a bipartite graph structure. In addition, the HPNS execute model specifications with dynamic delays. This paper focuses on the concept and the modelling approach. We give a short review of this new unified representation model for hybrid technical systems, the presentation of the model formalism is out of scope of this paper. A short summary about capabilities and restrictions of HPNS is presented. Moreover, examples of hybrid systems are presented.