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Electrical Engineering and Systems Science > Systems and Control

arXiv:2402.10535 (eess)
[Submitted on 16 Feb 2024]

Title:Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems

Authors:Julien Deantoni, Paula Muñoz, Cláudio Gomes, Clark Verbrugge, Rakshit Mittal, Robert Heinrich, Stijn Bellis, Antonio Vallecillo
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Abstract:Uncertainty is an inherent property of any complex system, especially those that integrate physical parts or operate in real environments. In this paper, we focus on the Digital Twins of adaptive systems, which are particularly complex to design, verify, and optimize. One of the problems of having two systems (the physical one and its digital replica) is that their behavior may not always be consistent. In addition, both twins are normally subject to different types of uncertainties, which complicates their comparison. In this paper we propose the explicit representation and treatment of the uncertainty of both twins, and show how this enables a more accurate comparison of their behaviors. Furthermore, this allows us to reduce the overall system uncertainty and improve its behavior by properly averaging the individual uncertainties of the two twins. An exemplary incubator system is used to illustrate and validate our proposal.
Subjects: Systems and Control (eess.SY); Software Engineering (cs.SE)
Cite as: arXiv:2402.10535 [eess.SY]
  (or arXiv:2402.10535v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2402.10535

Submission history

From: Antonio Vallecillo Vallecillo [view email]
[v1] Fri, 16 Feb 2024 09:46:40 UTC (2,731 KB)
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