Resource-Efficient Model-Free Adaptive Platooning Control for Vehicles With Encrypted Information
Authors: Zhao, H., Zhang, Q., Peng, L., Yu, H.
Journal: IEEE Transactions on Intelligent Transportation Systems
Publication Date: 01/01/2024
Volume: 25
Issue: 12
Pages: 20006-20016
eISSN: 1558-0016
ISSN: 1524-9050
DOI: 10.1109/TITS.2024.3454428
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.
Source: Scopus