Control Strategies for Digital Twin Systems
文献类型：期刊论文
| 作者 | Guo-Ping Liu |
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2024 |
| 卷号 | 11期号:1页码:170-180 |
| ISSN号 | 2329-9266 |
| 关键词 | Digital twin control systems fault tolerant control model tracking performance prediction performance retention |
| DOI | 10.1109/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. |
| 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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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