Control Strategies for Digital Twin Systems
Guo-Ping Liu
刊名IEEE/CAA Journal of Automatica Sinica
2024
卷号11期号:1页码:170-180
关键词Digital twin control systems fault tolerant control model tracking performance prediction performance retention
ISSN号2329-9266
DOI10.1109/JAS.2023.123834
英文摘要With the continuous breakthrough in information technology and its integration into practical applications, industrial digital twins are expected to accelerate their development in the near future. This paper studies various control strategies for digital twin systems from the viewpoint of practical applications. To make full use of advantages of digital twins for control systems, an architecture of digital twin control systems, adaptive model tracking scheme, performance prediction scheme, performance retention scheme, and fault tolerant control scheme are proposed. Those schemes are detailed to deal with different issues on model tracking, performance prediction, performance retention, and fault tolerant control of digital twin systems. Also, the stability of digital twin control systems is analysed. The proposed schemes for digital twin control systems are illustrated by examples.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/54501]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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GB/T 7714
Guo-Ping Liu. Control Strategies for Digital Twin Systems[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(1):170-180.
APA Guo-Ping Liu.(2024).Control Strategies for Digital Twin Systems.IEEE/CAA Journal of Automatica Sinica,11(1),170-180.
MLA Guo-Ping Liu."Control Strategies for Digital Twin Systems".IEEE/CAA Journal of Automatica Sinica 11.1(2024):170-180.
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