34 citations · 35 across the 4 of their papers we have counts for
3 papers · 1 filter
Energy Optimization of Wind Turbines via a Neural Control Policy Based on Reinforcement Learning Markov Chain Monte Carlo Algorithm
Vahid Tavakol Aghaei, Arda Ağababaoğlu, Biram Bawo +4
This study focuses on the numerical analysis and optimal control of vertical-axis wind turbines (VAWT) using Bayesian reinforcement learning (RL). We specifically address small-sca…
Underactuated Source Seeking by Surge Force Tuning: Theory and Boat Experiments
Bo Wang, Sergey Nersesov, Hashem Ashrafiuon +2
We extend source seeking algorithms, in the absence of position and velocity measurements, and with tuning of the surge input, from velocity-actuated (unicycle) kinematic models to…
An adaptive and energy-maximizing control of wave energy converters using extremum-seeking approach
Luca Parrinello, Panagiotis Dafnakis, Giovanni Bracco +3
In this paper, we systematically investigate the feasibility of different extremum-seeking (ES) control schemes to improve the conversion efficiency of wave energy converters (WECs…