Data-based networked predictive control

  • Yuanqing Xia*
  • , Wen Xie
  • , Bo Liu
  • , Xiaoyun Wang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This paper is concerned with the problem of data-driven predictive control for networked control systems (NCSs), which is designed from the subspace matrices, 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 removes the effects of the network transmission delay. The effectiveness of the proposed method is demonstrated in simulation as well as experiment study.

Original languageEnglish
Title of host publicationProceedings of the 30th Chinese Control Conference, CCC 2011
Pages6510-6514
Number of pages5
StatePublished - 2011
Externally publishedYes

Publication series

NameProceedings of the 30th Chinese Control Conference, CCC 2011

Keywords

  • Data-Driven Predictive Control
  • Networked Control System
  • Random Network Delays

ASJC Scopus subject areas

  • Control and Systems Engineering

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