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Digital-Twins Towards Cyber-Physical Systems: A Brief Survey
Version 1
: Received: 26 August 2022 / Approved: 29 August 2022 / Online: 29 August 2022 (09:51:49 CEST)
How to cite: Parnianifard, A.; Wuttisittikulkij, L. Digital-Twins Towards Cyber-Physical Systems: A Brief Survey. Preprints 2022, 2022080483. https://doi.org/10.20944/preprints202208.0483.v1 Parnianifard, A.; Wuttisittikulkij, L. Digital-Twins Towards Cyber-Physical Systems: A Brief Survey. Preprints 2022, 2022080483. https://doi.org/10.20944/preprints202208.0483.v1
Abstract
Cyber-Physical Systems (CPS) are integrations of computation and physical processes. Physical processes are monitored and controlled by embedded computers and networks, which frequently have feedback loops where physical processes affect computations and vice versa. To ease the analysis of a system, the costly physical plants can be replaced by high-fidelity virtual models that provide a framework for Digital-Twins (DT). This paper aims to briefly review the state-of-the-art and recent developments in DT and CPS. Three main components in CPS, including communication, control, and computation, are reviewed. Besides, the main tools and methodologies required for implementing practical DT are discussed by following the main applications of DT in the fourth industrial revolution through aspects of smart manufacturing, sixth wireless generation (6G), health, production, energy, and so on. Finally, the main limitations and ideas for future remarks are talked about followed by a short guideline for real-world application of DT towards CPS.
Keywords
Digital Twins; Cyber-Physical Systems; Control; Communication; Computation; 5G; Artificial Intelligence; Machine Learning; Computational Intelligence
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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