Intelligent Robot Trajectory Tracking Control Combining Mamdani Theory and Q-Learning Algorithm

Intelligent Robot Trajectory Tracking Control Combining Mamdani Theory and Q-Learning Algorithm

This paper aims to develop an intelligent robot trajectory tracking control method with low computational complexity, good generalization ability, and an adaptive parameter adjustment mechanism. Aiming at the limitations of traditional control algorithms in complex environment adaptability and syste...

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Bibliographic Details
Main Authors: Qiong Wu, Hua Chen, Baolong Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Fuzzy controller
Q-learning algorithm
robot
trajectory tracking
reward function
Online Access:https://ieeexplore.ieee.org/document/11009016/
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https://ieeexplore.ieee.org/document/11009016/

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