Hierarchical speed control for autonomous electric vehicle through deep reinforcement learning and robust control-Reference-Cited by-同舟云学术

Hierarchical speed control for autonomous electric vehicle through deep reinforcement learning and robust control

Published:2021-10-13 Issue:1 Volume:16 Page:112-124
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Xu Guangfei¹²,He Xiangkun³,Chen Meizhou¹,Miao Hequan¹,Pang Huanxiao¹,Wu Jian⁴,Diao Peisong¹^ORCID,Wang Wenjun¹

Affiliation:

1. College of Agricultural Engineering and Food Science Shandong University of Technology Zibo China

2. The Center of Smart agriculture and equipment Liaocheng Academy of Agricultural Sciences Liaocheng China

3. 2012 Noah's Ark Lab Beijing China

4. School of Mechanical and Automotive Engineering Liaocheng University Liaocheng China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12211

Reference32 articles.

1. Study on the driving style adaptive vehicle longitudinal control strategy

2. Research on vehicle active steering control based on linear matrix inequality and hardware in the loop test scheme design and implement for active steering

3. Field testing of an automatic control system for variable rate fertilizer application

4. Electric Vehicle Charging and Discharging Coordination on Distribution Network Using Multi-Objective Particle Swarm Optimization and Fuzzy Decision Making

5. Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)

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