AlinaBaber / ReinforcementLearning-QLearning-based-self-tuned-PID-controller-for-AUV-MatLabView on GitHub
This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically tune a PID controller for an Autonomous Underwater Vehicle (AUV). The implementation aims to enhance precision, adaptability, and robustness in underwater environments.
☆76Nov 23, 2024Updated last year
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