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Trajectory Tracking Control for UUVs Based on Deep Reinforcement Learning

Unmanned Underwater Vehicles (UUVs) operate in complex and uncertain environments, which require a suitable controller. While traditional PID controllers are widely used, they often have slow response speed and inadequate disturbance rejection, particularly under complex and uncertain conditions. To overcome these sho...

Ling Wang, Yan Shi · 0 citations

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