Abstract | ||
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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. |
Year | DOI | Venue |
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2013 | 10.1016/j.ins.2012.01.047 | Inf. Sci. |
Keywords | Field | DocType |
data-driven predictive control,networked predictive control,network transmission delay,future control prediction,experiment study,control performance,network delay compensator,control prediction generator,closed-loop system,networked control system | Network delay,Data-driven,Subspace topology,Control theory,Matrix (mathematics),Networked control system,Computer science,Model predictive control,Transmission delay,Control engineering,Control system | Journal |
Volume | ISSN | Citations |
235, | 0020-0255 | 36 |
PageRank | References | Authors |
1.13 | 12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yuanqing Xia | 1 | 3132 | 232.57 |
Wen Xie | 2 | 36 | 1.80 |
Bo Liu | 3 | 123 | 6.65 |
Xiaoyun Wang | 4 | 36 | 1.13 |