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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Tracking and Detecting Systematic Errors in Digital Twins
AU - Rhodes-Leader, Luke
AU - Nelson, Barry
PY - 2024/2/2
Y1 - 2024/2/2
N2 - Digital Twins (DTs) have immense promise for exploiting the power of computer simulation to control large-scale real-world systems. The key idea is to evaluate or optimize decisions using the DT, and then implement them in the real-world system. Even with best practices, the DT and the real-world system may become misaligned over time. In this paper we provide a statistical method to detect such misalignment even though both the simulation and the real-world system are inherently stochastic. An empirical evaluation and a realistic illustration are provided.
AB - Digital Twins (DTs) have immense promise for exploiting the power of computer simulation to control large-scale real-world systems. The key idea is to evaluate or optimize decisions using the DT, and then implement them in the real-world system. Even with best practices, the DT and the real-world system may become misaligned over time. In this paper we provide a statistical method to detect such misalignment even though both the simulation and the real-world system are inherently stochastic. An empirical evaluation and a realistic illustration are provided.
U2 - 10.1109/WSC60868.2023.10408052
DO - 10.1109/WSC60868.2023.10408052
M3 - Conference contribution/Paper
SP - 492
EP - 503
BT - Proceedings of the 2023 Winter Simulation Conference
PB - IEEE
ER -