HAL (France)
open access
Intelligent control for floating wind turbines : reinforcement learning, neural networks, and sliding mode approaches
Floating Offshore Wind Turbines (FOWTs) are crucial for a sustainable energy future, but they face challenges related to stabilization and efficiency due to the forces of waves, currents, and wind. This thesis explores innovative control methods adapted to these challenges. It begins with a review o
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