Examining Model Qualities and Their Impact on Digital Twins

Bentley James Oakes*, Cláudio Gomes, Peter Gorm Larsen, Joachim Denil, Julien Deantoni, João Cambeiro, John Fitzgerald

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

Abstract

Digital Twins (DTs) are built using modelling and simulation techniques in complex domains such as cyberphysical systems. However, further formal investigation is required for how a DT and the services it provides relate to the qualities of the models used by a service. Specifically, this article examines when a DT service can be said to have the qualities of relevant, verifiable, substitutable, and faithful based on the results of checking properties in comparison to the actual system. Using an incubator system as our running example, we show how a DT service relies on multiple models, present the consequences when these qualities are violated, and discuss strategies for adapting models to ensure these qualities.

OriginalsprogEngelsk
Titel2023 Annual Modeling and Simulation Conference (ANNSIM)
RedaktørerMaria Julia Blas, Gonzalo Alvarez
Antal sider13
ForlagIEEE
Publikationsdato2023
Sider220-232
ISBN (Elektronisk)978-1-71-387328-0, 979-8-3503-1457-1
StatusUdgivet - 2023
Begivenhed2023 Annual Modeling and Simulation Conference, ANNSIM 2023 - Hamilton, Canada
Varighed: 23 maj 202326 maj 2023

Konference

Konference2023 Annual Modeling and Simulation Conference, ANNSIM 2023
Land/OmrådeCanada
ByHamilton
Periode23/05/202326/05/2023

Fingeraftryk

Dyk ned i forskningsemnerne om 'Examining Model Qualities and Their Impact on Digital Twins'. Sammen danner de et unikt fingeraftryk.

Citationsformater