Simulation Study of Processes in Electric Vehicles under Braking Control Based on Reinforcement Learning
Author:
Affiliation:
1. Tallinn University of Technology,Department of Electrical Power Engineering and Mechatronics,Tallinn,Estonia
2. Tallinn University of Technology,Department of Computer Systems,Tallinn,Estonia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10227375/10227377/10227478.pdf?arnumber=10227478
Reference24 articles.
1. Deep reinforcement learning-based antilock braking algorithm;mantripragada;Vehicle System Dynamics,2022
2. Distributed Multi-Agent Reinforcement Learning by Actor-Critic Method
3. Wind power inertial support for inter-area oscillations suppression with fuzzy controller in varying load conditions
4. Deep deterministic policy gradient with compatible critic network;wang;IEEE Trans Neural Networks and Learning Systems (Early Access),2021
5. Research on control strategy of regenerative braking and anti-lock braking system for electric vehicle
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