Packet Management for Optimizing Control Performance in Real-Time Feedback Control Systems

Tong, X., Li, L. , Zhao, G. , Meng, Z., Chen, Z. and Yang, G. (2020) Packet Management for Optimizing Control Performance in Real-Time Feedback Control Systems. In: 46th Annual Conference of the IEEE Industrial Electronics Society (IECON 2020), Online Only, 19-21 Oct 2020, ISBN 9781728154152 (doi:10.1109/IECON43393.2020.9255231)

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Abstract

In real-time feedback control systems, control performance, e.g., control cost and tracking error, is significantly affected by information freshness, which in turn relies heavily on the design of the feedback update policy. In this paper, we study the update policy for real-time feedback control systems. We first discuss the relationship between the age of information (AOI) and control performance, where AOI represents the level of "dissatisfaction" for information staleness. We find that minimizing AOI is not always equivalent to optimizing the control performance. Then, a new metric, called the value of information (VOI), is proposed to evaluate the timeliness of system update by linking AOI to the decay rate of the control system. By maximizing VOI, we design a new update policy, called the α - wait, which has superiorities in improving both control performance and communication cost. Finally, simulation results verify our method.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Li, Dr Emma and Meng, Zhen and Zhao, Dr Guodong
Authors: Tong, X., Li, L., Zhao, G., Meng, Z., Chen, Z., and Yang, G.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
ISSN:1553-572X
ISBN:9781728154152
Copyright Holders:Copyright © 2020 IEEE
First Published:First published in Proceedings of IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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