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Minimizing wireless resource consumption for packetized predictive control in real-time cyber physical systems

  • Xin Tong
  • , Guodong Zhao
  • , Muhammad Ali Imran
  • , Zhibo Pang
  • , Zhi Chen
  • University of Electronic Science and Technology of China
  • University of Glasgow
  • ABB Group

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

28 Scopus citations

Abstract

In real-time cyber physical systems, packetized predictive control (PPC) is an effective solution to conduct robust control over unreliable wireless links. However, the conventional PPC design considers the control and communication systems independently, which does not guarantee the minimum wireless resource consumption. In this paper, we investigate the tight interaction between control and communication. In particular, we propose a communication-control co- design method to optimize the predication length of PPC, then the system can achieve the minimum wireless resource consumption. Our results demonstrate the advantages of the co-design, which is expected to obtain a fully integrated system with good overall performance for real-time wireless control.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538643280
DOIs
StatePublished - 3 Jul 2018
Externally publishedYes
Event2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Kansas City, United States
Duration: 20 May 201824 May 2018

Publication series

Name2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings

Conference

Conference2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018
Country/TerritoryUnited States
CityKansas City
Period20/05/1824/05/18

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