TY - GEN
T1 - A new approach of cloud control systems
T2 - 2017 Chinese Automation Congress, CAC 2017
AU - Gao, Runze
AU - Xia, Yuanqing
AU - Ma, Liang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/29
Y1 - 2017/12/29
N2 - Based on Cloud Computing, Networked Control Systems and Internet of Things, the concept of Cloud Control Systems is proposed to handle complex and high-intelligent systems with mass data. This paper is concerned with cloud control systems based on data-driven predictive control, which is designed by applying the subspace matrixes method. The proposed algorithm can provide accurate real-time control signals only using past inputs and outputs data, which is independent on built model off-line. Final simulation results demonstrate the effectiveness of the method.
AB - Based on Cloud Computing, Networked Control Systems and Internet of Things, the concept of Cloud Control Systems is proposed to handle complex and high-intelligent systems with mass data. This paper is concerned with cloud control systems based on data-driven predictive control, which is designed by applying the subspace matrixes method. The proposed algorithm can provide accurate real-time control signals only using past inputs and outputs data, which is independent on built model off-line. Final simulation results demonstrate the effectiveness of the method.
KW - Cloud Computing
KW - Cloud Control Systems
KW - Data-driven Predictive Control
KW - Networked Control Systems
UR - https://www.scopus.com/pages/publications/85050353556
U2 - 10.1109/CAC.2017.8243371
DO - 10.1109/CAC.2017.8243371
M3 - Conference contribution
AN - SCOPUS:85050353556
T3 - Proceedings - 2017 Chinese Automation Congress, CAC 2017
SP - 3419
EP - 3422
BT - Proceedings - 2017 Chinese Automation Congress, CAC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 October 2017 through 22 October 2017
ER -