Tong, X., Zhao, G. , Imran, M. A. , Pang, Z. and Chen, Z. (2018) Minimizing Wireless Resource Consumption for Packetized Predictive Control in Real-Time Cyber Physical Systems. In: IEEE ICC 2018 Workshop - The IEEE International Workshop on Communication, Computing, and Networking in Cyber Physical Systems (CCNCPS), Kansas City, MO, USA, 20-24 May 2018, ISBN 9781538643280 (doi: 10.1109/ICCW.2018.8403546)
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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.
Item Type: | Conference Proceedings |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Zhao, Dr Guodong and Imran, Professor Muhammad |
Authors: | Tong, X., Zhao, G., Imran, M. A., Pang, Z., and Chen, Z. |
College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
ISSN: | 2474-9133 |
ISBN: | 9781538643280 |
Copyright Holders: | Copyright © 2018 IEEE |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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