Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning

Author:

Gheisarnejad Meysam1ORCID,Mirzavand Ghazal2,Ardeshiri Reza Rouhi3,Andresen Bjorn1ORCID,Khooban Mohammad Hassan1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark

2. Department of Shiraz, University of Technology, Shiraz, Iran

3. Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Intelligent Control of DC Microgrid Involving Multiple Renewables for Fast Charging Control of Electric Vehicles;Electric Power Components and Systems;2024-01-30

2. Adaptive Fuzzy Control Design and Implementation of Genetic Algorithm Based Robot System;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

3. A systematic review on speed control modelling for electric vehicle;Journal of Control and Decision;2023-08-25

4. Research on Longitudinal Control Algorithm of Adaptive Cruise Control System for Pure Electric Vehicles;World Electric Vehicle Journal;2023-01-28

5. Event-Based ADP Tracking Control of Complex-Valued Nonlinear Systems;IEEE Transactions on Emerging Topics in Computational Intelligence;2023

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