Resource-Efficient Model-Free Adaptive Platooning Control for Vehicles With Encrypted Information

Zhao, Huarong; Zhang, Qiuju; Peng, Li; Yu, Hongnian

Abstract

This paper addresses the challenge of resource-efficient control in vehicle platooning systems, particularly focusing on communication requirements that involve network encryption. First, we construct a virtual output function to establish a virtual dynamic linearization model for these systems. Then, we design an encoding-decoding mechanism based on a logarithmical quantizer to facilitate digitized encryption communication. Furthermore, we investigate a dead-zone-based event-triggered communication strategy, enabling users to balance costs and performances. Subsequently, we formulate an event-triggered model-free adaptive platooning control method relying solely on input and output data from the vehicle platooning systems. Finally, the convergence of the proposed method is rigorously proved, and simulation study results demonstrate the proposed method’s effectiveness.

Citation

Zhao, H., Zhang, Q., Peng, L., & Yu, H. (2024). Resource-Efficient Model-Free Adaptive Platooning Control for Vehicles With Encrypted Information. IEEE Transactions on Intelligent Transportation Systems, 25(12), 20006 - 20016. https://doi.org/10.1109/tits.2024.3454428

• Journal Article Type: Article
• Acceptance Date: Aug 13, 2024
• Online Publication Date: Sep 9, 2024
• Publication Date: 2024-12
• Deposit Date: Jan 29, 2025
• Journal: IEEE Transactions on Intelligent Transportation Systems
• Print ISSN: 1524-9050
• Electronic ISSN: 1558-0016
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 25
• Issue: 12
• Pages: 20006 - 20016
• DOI: https://doi.org/10.1109/tits.2024.3454428
• Keywords: Data-driven control, logarithmical quantization, event-triggered communication, vehicle platooning control
• Public URL: http://researchrepository.napier.ac.uk/Output/3833229