Resilient event-triggered model predictive control for adaptive cruise control under sensor attacks

This letter addresses the resilient model predictive control (MPC) problems for adaptive cruise control (ACC) systems under sensor attacks. In the light of vulnerabilities of ACC systems to sensor attacks, an intrusion detection mechanism is proposed at the controller side to distinguish abnormal da...

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Main Authors: Hu, Zhijian, Su, Rong, Zhang, Kai, Xu, Zeyuan, Ma, Renjie
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/166743
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1667432023-05-12T15:40:47Z Resilient event-triggered model predictive control for adaptive cruise control under sensor attacks Hu, Zhijian Su, Rong Zhang, Kai Xu, Zeyuan Ma, Renjie School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Adaptive Control Computer Crime This letter addresses the resilient model predictive control (MPC) problems for adaptive cruise control (ACC) systems under sensor attacks. In the light of vulnerabilities of ACC systems to sensor attacks, an intrusion detection mechanism is proposed at the controller side to distinguish abnormal data. Then, the robust control gains are derived to design the terminal region constraint for MPC. Further, an improved event-triggered scheme is presented, which shows the ability to relieve the computation burden in the implementation of MPC, by combining the memory-based event-triggered condition and the maximum allowed time interval condition. Finally, efficacy validations are given in simulations. Agency for Science, Technology and Research (A*STAR) Submitted/Accepted version This work was supported in part by A*STAR under its RIE2020 Advanced Manufacturing and Engineering (AME) Industry Alignment Fund-Pre Positioning (IAF-PP) (Award A19d6a 0053); the Agency for Science, Technology and Research (A*STAR) (I2001E0067) and the Schaeffler Hub for Advanced Research at NTU; National Natural Science Foundation of China (62203142); the China Postdoctoral Science Foundation (2022M710966, 2022TQ 0096). 2023-05-09T01:29:45Z 2023-05-09T01:29:45Z 2023 Journal Article Hu, Z., Su, R., Zhang, K., Xu, Z. & Ma, R. (2023). Resilient event-triggered model predictive control for adaptive cruise control under sensor attacks. IEEE/CAA Journal of Automatica Sinica, 10(3), 807-809. https://dx.doi.org/10.1109/JAS.2023.123111 2329-9266 https://hdl.handle.net/10356/166743 10.1109/JAS.2023.123111 3 10 807 809 en A19d6a 0053 I2001E0067 IEEE/CAA Journal of Automatica Sinica © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/JAS.2023.123111. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Adaptive Control
Computer Crime
spellingShingle Engineering::Electrical and electronic engineering
Adaptive Control
Computer Crime
Hu, Zhijian
Su, Rong
Zhang, Kai
Xu, Zeyuan
Ma, Renjie
Resilient event-triggered model predictive control for adaptive cruise control under sensor attacks
description This letter addresses the resilient model predictive control (MPC) problems for adaptive cruise control (ACC) systems under sensor attacks. In the light of vulnerabilities of ACC systems to sensor attacks, an intrusion detection mechanism is proposed at the controller side to distinguish abnormal data. Then, the robust control gains are derived to design the terminal region constraint for MPC. Further, an improved event-triggered scheme is presented, which shows the ability to relieve the computation burden in the implementation of MPC, by combining the memory-based event-triggered condition and the maximum allowed time interval condition. Finally, efficacy validations are given in simulations.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Hu, Zhijian
Su, Rong
Zhang, Kai
Xu, Zeyuan
Ma, Renjie
format Article
author Hu, Zhijian
Su, Rong
Zhang, Kai
Xu, Zeyuan
Ma, Renjie
author_sort Hu, Zhijian
title Resilient event-triggered model predictive control for adaptive cruise control under sensor attacks
title_short Resilient event-triggered model predictive control for adaptive cruise control under sensor attacks
title_full Resilient event-triggered model predictive control for adaptive cruise control under sensor attacks
title_fullStr Resilient event-triggered model predictive control for adaptive cruise control under sensor attacks
title_full_unstemmed Resilient event-triggered model predictive control for adaptive cruise control under sensor attacks
title_sort resilient event-triggered model predictive control for adaptive cruise control under sensor attacks
publishDate 2023
url https://hdl.handle.net/10356/166743
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