Learning-Based Platooning Control of Automated Vehicles via Multiple Description Encoding Mechanisms-Reference-Cited by-同舟云学术

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Learning-Based Platooning Control of Automated Vehicles via Multiple Description Encoding Mechanisms

Published:2024-06 Issue:6 Volume:73 Page:7693-7707
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Xie Meiling¹^ORCID,Ding Derui¹^ORCID,Shen Bo²^ORCID,Dong Hongli³^ORCID,Song Yan¹^ORCID

Affiliation:

1. Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China

2. College of Information Science and Technology, Donghua University, Shanghai, China

3. Sanya Offshore Oil & Gas Research Institute, Northeast Petroleum University, Sanya, China

Funder

National Natural Science Foundation of China

Hainan Province Science and Technology Special Fund of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10564808/10414150.pdf?arnumber=10414150

Reference43 articles.

1. Scalable and Resilient Platooning Control of Cooperative Automated Vehicles

2. Distributed Dynamic Event-Triggered Secure Model Predictive Control of Vehicle Platoon Against DoS Attacks

3. A Novel Multi-Objective Optimization Approach with Flexible Operation Planning Strategy for Truck Scheduling

4. A Scalable Adaptive Approach to Multi-Vehicle Formation Control with Obstacle Avoidance

5. A Survey on Platoon-Based Vehicular Cyber-Physical Systems

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