Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 45-54 |
| Number of pages | 10 |
| Journal | Information Sciences |
| Volume | 235 |
| DOIs | |
| State | Published - 20 Jun 2013 |
| Externally published | Yes |
Bibliographical note
Funding Information:The authors thank the referees for their valuable and helpful comments which have improved the presentation. The work of Yuanqing Xia was supported by the National Basic Research Program of China (973 Program) ( 2012CB720000 ), the National Natural Science Foundation of China ( 60974011 ), Program for New Century Excellent Talents in University of China ( NCET-08-0047 ), the Ph.D. Programs Foundation of Ministry of Education of China ( 20091101110023 and 20111101110012 ), and Program for Changjiang Scholars and Innovative Research Team in University , and Beijing Municipal Natural Science Foundation ( 4102053 and 4101001 ).
Keywords
- Data-driven predictive control
- Networked control system
- Random network delay
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications
- Information Systems and Management
- Artificial Intelligence