TY - JOUR
T1 - Data-driven predictive control for networked control systems
AU - Xia, Yuanqing
AU - Xie, Wen
AU - Liu, Bo
AU - Wang, Xiaoyun
PY - 2013/6/20
Y1 - 2013/6/20
N2 - This paper is concerned with the problem of data-driven predictive control for networked control systems (NCSs), which is designed by applying the subspace matrices technique, obtained directly from the input/output data transferred from networks. The networked predictive control consists of the control prediction generator and network delay compensator. The control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance and the network delay compensator eliminates the effects of the network transmission delay. The effectiveness and superiority of the proposed method is demonstrated in simulation as well as experiment study.
AB - This paper is concerned with the problem of data-driven predictive control for networked control systems (NCSs), which is designed by applying the subspace matrices technique, obtained directly from the input/output data transferred from networks. The networked predictive control consists of the control prediction generator and network delay compensator. The control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance and the network delay compensator eliminates the effects of the network transmission delay. The effectiveness and superiority of the proposed method is demonstrated in simulation as well as experiment study.
KW - Data-driven predictive control
KW - Networked control system
KW - Random network delay
UR - http://www.scopus.com/inward/record.url?scp=84875962362&partnerID=8YFLogxK
U2 - 10.1016/j.ins.2012.01.047
DO - 10.1016/j.ins.2012.01.047
M3 - Article
AN - SCOPUS:84875962362
SN - 0020-0255
VL - 235
SP - 45
EP - 54
JO - Information Sciences
JF - Information Sciences
ER -