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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11009016/ |
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