Efficient data-driven event-triggered predictive control for cyber-physical systems-Reference-Cited by-同舟云学术

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Efficient data-driven event-triggered predictive control for cyber-physical systems

Published:2024-05-02 Issue: Volume: Page:1-10
ISSN:2330-7706
Container-title:Journal of Control and Decision
language:en
Short-container-title:Journal of Control and Decision

Author:

Li Zhe¹²,Liu Kexin¹²,Wang Xudong³⁴,Yuan Xiaofang¹⁴,Wang Yaonan¹⁴

Affiliation:

1. College of Electrical & Information Engineering, Hunan University, Changsha, People's Republic of China

2. Xiangjiang Laboratory, Changsha, People's Republic of China

3. School of Robotics, Hunan University, Changsha, People's Republic of China

4. National Engineering Research Center of Robot Visual Perception & Control Technology, Hunan University, Changsha, People's Republic of China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Special Funding Support for the Construction of Innovative Province of Hunan

Major project of Xiangjiang Laboratory

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23307706.2024.2346950

Reference37 articles.

1. Subspace identification based inferential control applied to a continuous pulp digester

2. Berberich J. Koch A. Scherer C. W. & Allgöwer F. (2020). Robust data-driven state-feedback design. In 2020 American Control Conference Denver CO USA (pp. 1532–1538).

3. Online Control and Optimization for Cyber-Physical Systems

4. Sustainable securing of Medical Cyber-Physical Systems for the healthcare of the future

5. A survey on security control and attack detection for industrial cyber-physical systems

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