Work

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

Year: 2024

Type: article

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: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2024.3454428

Authors: Huarong Zhao, Qiuju Zhang, Li Peng, Hongnian Yu

Institutions: Jiangnan University, Edinburgh Napier University

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: National Natural Science Foundation of China, Higher Education Discipline Innovation Project, Fundamental Research Funds for the Central Universities