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  5. Cooperative adaptive cruise control in the presence of communication and radar stochastic data loss
 
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Cooperative adaptive cruise control in the presence of communication and radar stochastic data loss
File(s)
Rezaee_ZHang_Parisini_Polycarpou_TITS_Accepted_Version_2_11_2023.pdf (1.02 MB)
Accepted version
Author(s)
Rezaee, Hamed
Zhang, Kangkang
Parisini, Thomas
Polycarpou, Marios M
Type
Journal Article
Abstract
Control of a platoon of connected vehicles with nonlinear longitudinal dynamics subject to failure in receiving communicated and radio data is addressed in this paper. We consider a scenario when due to malfunction of communication and radio devices, required data for cooperative adaptive cruise control may be stochastically unavailable. We develop a control scheme such that under certain conditions, the regulation of the intervehicle distances in desired values can be guaranteed. Specifically, we rigorously show that if the probability of receiving the required data for each vehicle is not zero, then under the proposed control strategy, the intervehicle distances almost surely converge to the desired values. Accurate performance of radars is a key assumption in the existing results in the literature on cooperative adaptive cruise control. Hence, the main contribution of this paper is that under the proposed control strategy, the robustness of the platoon against stochastic data loss in both communication network and vehicles radars is guaranteed. Simulation results verify the acceptable performance of the proposed control strategy.
Date Issued
2024-06
Date Acceptance
2023-11-02
Citation
IEEE Transactions on Intelligent Transportation Systems, 2024, 25 (6), pp.4964-4976
URI
http://hdl.handle.net/10044/1/109282
URL
http://dx.doi.org/10.1109/tits.2023.3335310
DOI
https://www.dx.doi.org/10.1109/tits.2023.3335310
ISSN
1524-9050
Publisher
Institute of Electrical and Electronics Engineers
Start Page
4964
End Page
4976
Journal / Book Title
IEEE Transactions on Intelligent Transportation Systems
Volume
25
Issue
6
Copyright Statement
Copyright © 2024 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.
Identifier
http://dx.doi.org/10.1109/tits.2023.3335310
Publication Status
Published
Date Publish Online
2024-01-01
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