Autonomous Platoon Control With Integrated Deep Reinforcement Learning and Dynamic Programming-Reference-Cited by-同舟云学术

Autonomous Platoon Control With Integrated Deep Reinforcement Learning and Dynamic Programming

Published:2023-03-15 Issue:6 Volume:10 Page:5476-5489
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Liu Tong¹^ORCID,Lei Lei²^ORCID,Zheng Kan³^ORCID,Zhang Kuan⁴^ORCID

Affiliation:

1. Intelligent Computing and Communication Lab, Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China

2. School of Engineering, University of Guelph, Guelph, Canada

3. College of Electrical Engineering and Computer Sciences, Ningbo University, Ningbo, China

4. Department of Electrical and Computer Engineering, University of Nebraska–Lincoln, Omaha, NE, USA

Funder

Natural Sciences and Engineering Research Council (NSERC) of Canada under Discovery

University of Guelph through the CARE-AI Seed Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10061500/09951132.pdf?arnumber=9951132

Reference51 articles.

1. Min-Max Model Predictive Vehicle Platooning With Communication Delay

2. A Secure Sensor Fusion Framework for Connected and Automated Vehicles under Sensor Attacks

3. Safe Optimization of Highway Traffic With Robust Model Predictive Control-Based Cooperative Adaptive Cruise Control

4. Adaptive Neuro-Fuzzy Predictor-Based Control for Cooperative Adaptive Cruise Control System

5. Cooperative Adaptive Cruise Control: Network-Aware Analysis of String Stability

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