Digital Twins for Distributed Intelligent Sensing and Control Systems-Reference-Cited by-同舟云学术

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Digital Twins for Distributed Intelligent Sensing and Control Systems

Published:2022 Issue: Volume: Page:119-130
ISSN:1860-949X
Container-title:Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future
language:
Short-container-title:

Author:

Lesage Jonathan,Brennan Robert

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-99108-1_9

Reference28 articles.

1. Ait-Alla, A., Kreutz, M., Rippel, D., Lütjen, M., Freitag, M.: Simulation-based analysis of the interaction of a physical and a digital twin in a cyber-physical production system. IFAC-PapersOnLine 52(13), 1331–1336 (2019). https://doi.org/10.1016/j.ifacol.2019.11.383

2. Azangoo, M., Taherkordi, A., Olaf Blech, J.: Digital twins for manufacturing using UML and behavioral specifications. In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020-Sept, pp. 1035–1038 (2020). https://doi.org/10.1109/ETFA46521.2020.9212165

3. Biesinger, F., Meike, D., Kraß, B., Weyrich, M.: A digital twin for production planning based on cyber-physical systems: a case study for a cyber-physical system-based creation of a digital twin. Proc. CIRP 79, 355–360 (2019). https://doi.org/10.1016/j.procir.2019.02.087

4. Borangiu, T., Raileanu, S., Silisteanu, A., Anton, S., Anton, F.: Smart manufacturing control with cloud-embedded digital twins. In: 2020 24th International Conference on System Theory, Control and Computing, ICSTCC 2020—Proceedings pp. 915–920 (2020). https://doi.org/10.1109/ICSTCC50638.2020.9259684

5. He, R., Chen, G., Dong, C., Sun, S., Shen, X.: Data-driven digital twin technology for optimized control in process systems. ISA Trans. 95, 221–234 (2019). https://doi.org/10.1016/j.isatra.2019.05.011

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