Data-driven predictive control for networked control systems

Yuanqing Xia*, Wen Xie, Bo Liu, Xiaoyun Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

98 Citations (Scopus)

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 languageEnglish
Pages (from-to)45-54
Number of pages10
JournalInformation Sciences
Volume235
DOIs
Publication statusPublished - 20 Jun 2013

Keywords

  • Data-driven predictive control
  • Networked control system
  • Random network delay

Fingerprint

Dive into the research topics of 'Data-driven predictive control for networked control systems'. Together they form a unique fingerprint.

Cite this