Hierarchical speed control for autonomous electric vehicle through deep reinforcement learning and robust control
Abstract For the speed control system of autonomous electric vehicle (AEV), challenge happens with how to determine an appropriate driving speed to satisfy the dynamic environment while resisting uncertainty and disturbance. Therefore, this paper proposes a robust optimal speed control approach base...
Main Authors: | Guangfei Xu, Xiangkun He, Meizhou Chen, Hequan Miao, Huanxiao Pang, Jian Wu, Peisong Diao, Wenjun Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | IET Control Theory & Applications |
Subjects: | |
Online Access: | https://doi.org/10.1049/cth2.12211 |
Similar Items
-
Optimal roundabout control under fully connected and automated vehicle environment
by: Ali Danesh, et al.
Published: (2021-11-01) -
Energy‐efficient train operation with steep track and speed limits: A novel Pontryagin's maximum principle‐based approach for adjoint variable discontinuity cases
by: Peiran Ying, et al.
Published: (2021-09-01) -
A greedy non‐hierarchical grey wolf optimizer for real‐world optimization
by: Ebrahim Akbari, et al.
Published: (2021-06-01) -
Convex model predictive control for collision avoidance
by: Saša V. Raković, et al.
Published: (2021-06-01) -
Distributed deep reinforcement learning for optimal voltage control of PEMFC
by: Jiawen Li, et al.
Published: (2021-09-01)