Skip to Main content Skip to Navigation
New interface

Contribution to the formalisation of data-driven invariant modelling constructs of Cyber-Physical Systems

Abstract : The digital transformation of collaborative networked manufacturing enterprises requires the building and the applying digital models representing the set of resources and processes knowledge. Modelling such digital copy of the physical system to perform real-time validation and optimization is quite complex and thus needs a big amount of data and some modelling patterns representing the operational semantics of the modelled elements. Generally, the modelling action has a specific application type. For this reason, the core challenge of the digital transformation modelling is to create an invariant approach, namely a decomposable and re-composable model, towards different applications. This PhD thesis aims at identifying and formalising modelling constructs contributing at building informational and functional models for improving the sustainability of manufacturing processes and products based on networked components. The constructs will then allow representing knowledge and its deep relationship with the manufacturing processes. They make the shared knowledge more readily reusable and are at the basis of standardization efforts.
Complete list of metadata

Cited literature [304 references]  Display  Hide  Download
Contributor : Thèses UL Connect in order to contact the contributor
Submitted on : Thursday, September 3, 2020 - 4:44:43 PM
Last modification on : Wednesday, November 3, 2021 - 7:08:45 AM
Long-term archiving on: : Saturday, December 5, 2020 - 12:13:33 AM


Files produced by the author(s)


  • HAL Id : tel-02929708, version 1



Concetta Semeraro. Contribution to the formalisation of data-driven invariant modelling constructs of Cyber-Physical Systems. Automatic. Université de Lorraine; Politecnico di Bari, 2020. English. ⟨NNT : 2020LORR0029⟩. ⟨tel-02929708⟩



Record views


Files downloads