In this work, different from existing formalisms, we propose a dual-time Petri net model which integrates timed places and timed transitions, providing a detailed approach to system modeling. Specifically, temporal attributes associated with places indicate resource availability, while those associated with transitions signify event feasibility, thus enabling a precise characterization of system behaviors. To comprehensively explore the system's state space, we present an extended state class graph, facilitating a thorough representation of system dynamics. Through an example, we demonstrate the applicability of the dual-time Petri net in a real-world scenario.

Modeling and Analysis of Time Dependent Petri Nets / Zhang, Shu; Liu, Ruotian; Chen, Yufeng; Cong, Xuya; Fanti, Maria Pia. - (2024), pp. 2140-2145. (Intervento presentato al convegno 20th IEEE International Conference on Automation Science and Engineering, CASE 2024 tenutosi a ita nel 2024) [10.1109/case59546.2024.10711742].

Modeling and Analysis of Time Dependent Petri Nets

Liu, Ruotian;Fanti, Maria Pia
2024-01-01

Abstract

In this work, different from existing formalisms, we propose a dual-time Petri net model which integrates timed places and timed transitions, providing a detailed approach to system modeling. Specifically, temporal attributes associated with places indicate resource availability, while those associated with transitions signify event feasibility, thus enabling a precise characterization of system behaviors. To comprehensively explore the system's state space, we present an extended state class graph, facilitating a thorough representation of system dynamics. Through an example, we demonstrate the applicability of the dual-time Petri net in a real-world scenario.
2024
20th IEEE International Conference on Automation Science and Engineering, CASE 2024
Modeling and Analysis of Time Dependent Petri Nets / Zhang, Shu; Liu, Ruotian; Chen, Yufeng; Cong, Xuya; Fanti, Maria Pia. - (2024), pp. 2140-2145. (Intervento presentato al convegno 20th IEEE International Conference on Automation Science and Engineering, CASE 2024 tenutosi a ita nel 2024) [10.1109/case59546.2024.10711742].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/279980
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