A particle-filter-based dual-control framework auto-learns unknown wave parameters online and generates a harmonic power take-off profile that approaches the theoretical maximum energy output for regular waves and shows robustness in one irregular-wave simulation.
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Auto-optimization of Energy Generation for Wave Energy Converters with Active Learning
A particle-filter-based dual-control framework auto-learns unknown wave parameters online and generates a harmonic power take-off profile that approaches the theoretical maximum energy output for regular waves and shows robustness in one irregular-wave simulation.