Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning
Author:
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
Link
http://xplorestaging.ieee.org/ielx7/7433297/10033115/09810791.pdf?arnumber=9810791
Reference54 articles.
1. Wheel Slip Control for the Electric Vehicle With In-Wheel Motors: Variable Structure and Sliding Mode Methods
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3. Intelligent Energy Management Control for Extended Range Electric Vehicles Based on Dynamic Programming and Neural Network
4. Path Following Control of Autonomous Four-Wheel-Independent-Drive Electric Vehicles via Second-Order Sliding Mode and Nonlinear Disturbance Observer Techniques
5. Online Tuning of a PID Controller with a Fuzzy Reinforcement Learning MAS for Flow Rate Control of a Desalination Unit
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