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Building a Digital Twin Framework for Dynamic and Robust Distributed Systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1996-1234
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-9857-4317
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2416-4205
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2870-2680
2024 (English)In: Lect. Notes Comput. Sci., Springer Science and Business Media Deutschland GmbH , 2024, p. 254-258Conference paper, Published paper (Refereed)
Abstract [en]

Digital Twins (DTs) serve as the backbone of Industry 4.0, offering virtual representations of actual systems, enabling accurate simulations, analysis, and control. These representations help in predicting system behaviour, facilitating multiple real-time tests, and reducing risks and costs while identifying optimization areas. DTs meld cyber and physical realms, accelerating the design and modelling of sustainable innovations. Despite their potential, the complexity of DTs presents challenges in their industrial application. We sketch here an approach to build an adaptable and trustable framework for building and operating DT systems, which is the basis for the academia-industry project A Digital Twin Framework for Dynamic and Robust Distributed Systems (D-RODS). D-RODS aims to address the challenges above, aiming to advance industrial digitalization and targeting areas like system efficiency, incorporating AI and verification techniques with formal support. 

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2024. p. 254-258
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 14390 LNCS
Keywords [en]
AI, digital twins, industrial automation, resource utilization, verification and validation, Actual system, Analysis and controls, Distributed systems, Resources utilizations, Simulation analysis, Simulation control, System behaviors, Verification-and-validation, Virtual representations, Artificial intelligence
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-65247DOI: 10.1007/978-3-031-49252-5_22Scopus ID: 2-s2.0-85180149728ISBN: 9783031492518 (print)OAI: oai:DiVA.org:mdh-65247DiVA, id: diva2:1823988
Conference
8th International Conference on Engineering of Computer-Based Systems, ECBS 2023, Västerås, 16 October 2023 through 18 October 2023
Available from: 2024-01-03 Created: 2024-01-03 Last updated: 2024-01-03Bibliographically approved

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Seceleanu, TiberiuXiong, NingEnoiu, Eduard PaulSeceleanu, Cristina

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