Modelling and control of large-scale systems via hybrid Petri Nets
Angela Di Febbraro, Simona Sacone
Abstract
Angela Di Febbraro, Simona Sacone
Abstract
Hybrid Petri Nets are suitable to model and control significant classes of large-scale systems, such as manufacturing processes and transportation networks, which can have the structure of hybrid systems. A hybrid Petri net (HPN) is a combination of a ‘classical’ Petri net and a continuous Petri net, the ‘fluid’ version of a timed Petri net. In the proposed model, the discrete part of the HPN ‘regulates’ the continuous Petri net by managing the events resulting in changes to the system behaviour, so as to cope with the new conditions and still pursue the control objectives.
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Hybrid Petri Nets are suitable to model and control significant classes of large-scale systems, such as manufacturing processes and transportation networks, which can have the structure of hybrid systems. A hybrid Petri net (HPN) is a combination of a ‘classical’ Petri net and a continuous Petri net, the ‘fluid’ version of a timed Petri net. In the proposed model, the discrete part of the HPN ‘regulates’ the continuous Petri net by managing the events resulting in changes to the system behaviour, so as to cope with the new conditions and still pursue the control objectives.
Key concepts: Petri net, Process architecture, Computer science, Stochastic Petri net, Distributed computing, Petri dish, Control (management), Hybrid system