Physical systems are complex, and their behaviour is typically affected by uncertainty caused by incomplete knowledge about their state and operations. The emergence of Digital Twins (DTs), i.e., virtual copies of physical systems, leverages the opportunity of supporting in-vitro diagnoses and decision-making. However, the adoption of DTs cannot neglect the trust that stakeholders have in them and in their insights. Here, we present a preliminary framework for architecting DTs where appropriate modeling notations, trust assurance, and co-evolution between DTs and physical systems are part of a holistic method aiming to guarantee that a DT conforms, in terms of configuration and behaviour, to its corresponding Physical Twin (PT).

(2022). Towards Trust-preserving continuous co-evolution of Digital Twins . Retrieved from http://hdl.handle.net/10446/211375

Towards Trust-preserving continuous co-evolution of Digital Twins

Gargantini, Angelo;Scandurra, Patrizia
2022-03

Abstract

Physical systems are complex, and their behaviour is typically affected by uncertainty caused by incomplete knowledge about their state and operations. The emergence of Digital Twins (DTs), i.e., virtual copies of physical systems, leverages the opportunity of supporting in-vitro diagnoses and decision-making. However, the adoption of DTs cannot neglect the trust that stakeholders have in them and in their insights. Here, we present a preliminary framework for architecting DTs where appropriate modeling notations, trust assurance, and co-evolution between DTs and physical systems are part of a holistic method aiming to guarantee that a DT conforms, in terms of configuration and behaviour, to its corresponding Physical Twin (PT).
Bersani, Marcello Maria; Braghin, Chiara; Cortellessa, Vittorio; Gargantini, Angelo; Grassi, Vincenzo; Lo Presti, Francesco; Mirandola, Raffaela; Pierantonio, Alfonso; Riccobene, Elvinia; Scandurra, Patrizia
File allegato/i alla scheda:
File Dimensione del file Formato  
IEEE_COMPUTER__DIGITAL_TWINS.pdf

Solo gestori di archivio

Versione: postprint - versione referata/accettata senza referaggio
Licenza: Licenza default Aisberg
Dimensione del file 207.03 kB
Formato Adobe PDF
207.03 kB Adobe PDF   Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10446/211375
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact