Modelling Cyber-physical systems is quite complex and thus needs a big amount of data and modelling techniques representing the operational semantics of the modelled elements. Generally, the modelling action has a specific application type. For this reason, the paper proposes a series of modelling patterns aimed at automatically identifying invariant behaviors in the masses of data that can be modelled to emulate cyber-physical systems and thus contribute to the digital transformation of industrial production companies
Modelling Cyber‐Physical Systems Using Data‐driven Patterns / Semeraro, Concetta; Lezoche, Mario; Panetto, Hervé; Dassisti, Michele. - In: INSIGHT. - ISSN 2156-4868. - STAMPA. - 24:4(2021), pp. 12-15. [10.1002/inst.12354]
Modelling Cyber‐Physical Systems Using Data‐driven Patterns
Semeraro, Concetta;Dassisti, Michele
2021-01-01
Abstract
Modelling Cyber-physical systems is quite complex and thus needs a big amount of data and modelling techniques representing the operational semantics of the modelled elements. Generally, the modelling action has a specific application type. For this reason, the paper proposes a series of modelling patterns aimed at automatically identifying invariant behaviors in the masses of data that can be modelled to emulate cyber-physical systems and thus contribute to the digital transformation of industrial production companiesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
