Simulation Study of Processes in Electric Vehicles under Braking Control Based on Reinforcement Learning

Author:

Vodovozov Valery1,Raud Zoja1,Petlenkov Eduard2

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

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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