Design, analysis, and learning control of a fully actuated micro wind turbine
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[1] End Use. Annual energy review , 1984 .
[2] Peter W. Glynn,et al. Likelilood ratio gradient estimation: an overview , 1987, WSC '87.
[3] Marwan A. Jabri,et al. Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks , 1991, Neural Comput..
[4] Kevin L. Moore,et al. Iterative Learning Control: An Expository Overview , 1999 .
[5] K. Pierce. Control Method for Improved Energy Capture Below Rated Power , 1999 .
[6] 宮森 悠. ライブラリー Annual Energy Outlook 2000 , 2000 .
[7] Ervin Bossanyi,et al. Wind Energy Handbook , 2001 .
[8] Cao Binggang,et al. A new maximum power point tracking control scheme for wind generation , 2002, Proceedings. International Conference on Power System Technology.
[9] Kathryn E. Johnson,et al. Controls Advanced Research Turbine (CART) Commissioning and Baseline Data Collection , 2002 .
[10] Wind Energy Explained: Theory, Design and Application , 2002 .
[11] M. Krstić,et al. Real-Time Optimization by Extremum-Seeking Control , 2003 .
[12] Peter L. Bartlett,et al. Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning , 2001, J. Mach. Learn. Res..
[13] Kathryn E. Johnson,et al. Methods for Increasing Region 2 Power Capture on a Variable-Speed Wind Turbine , 2004 .
[14] R. J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[15] Miroslav Krstic,et al. Real-Time Optimization by Extremum-Seeking Control: Ariyur/Extremum Seeking , 2004 .
[16] James F. Manwell,et al. Book Review: Wind Energy Explained: Theory, Design and Application , 2006 .
[17] Mark J. Balas,et al. Testing State-Space Controls for the Controls Advanced Research Turbine , 2006 .
[18] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[19] Kostas Kalaitzakis,et al. Design of a maximum power tracking system for wind-energy-conversion applications , 2006, IEEE Transactions on Industrial Electronics.
[20] Stefan Schaal,et al. Policy Gradient Methods for Robotics , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[21] Karl Stol,et al. Individual Blade Pitch Control for the Controls Advanced Research Turbine "CART… , 2006 .
[22] Yaoyu Li,et al. Maximizing Wind Turbine Energy Capture Using Multivariable Extremum Seeking Control , 2009 .
[23] G.A.M. van Kuik,et al. Review of state of the art in smart rotor control research for wind turbines , 2010 .
[24] Guoqiang Hu,et al. Wind Turbine Power Capture Control With Robust Estimation , 2010 .
[25] Pieter Abbeel,et al. On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient , 2010, NIPS.
[26] Edwin Olson,et al. LCM: Lightweight Communications and Marshalling , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[27] Douglas E. Adams,et al. Model Identification and Operating Load Characterization for a Small Horizontal Axis Wind Turbine Rotor Using Integrated Blade Sensors , 2010 .
[28] Barbara T. Fichman. Annual Energy Review 2009 , 2010 .
[29] L Y Pao,et al. Control of Wind Turbines , 2011, IEEE Control Systems.
[30] Matthew A. Lackner,et al. Characterization of the unsteady aerodynamics of offshore floating wind turbines , 2013 .
[31] P. Glynn. LIKELIHOOD RATIO GRADIENT ESTIMATION : AN OVERVIEW by , 2022 .