High-Altitude Wind Power Generation
暂无分享,去创建一个
L. Fagiano | M. Milanese | D. Piga | M. Milanese | L. Fagiano | D. Piga
[1] C. L. Archer,et al. Evaluation of global wind power , 2005 .
[2] Lorenzo Fagiano,et al. Set Membership approximation theory for fast implementation of Model Predictive Control laws , 2009, Autom..
[3] G. Masters,et al. Exploiting Wind Versus Coal , 2001, Science.
[4] Lorenzo Fagiano,et al. Fast Nonlinear Model Predictive Control Using Set Membership Approximation⋆ ⋆This work has been partly supported by Ministero dell'Università e della Ricerca of Italy, under the National Project “Advanced control and identification techniques for innovative applications”. , 2008 .
[5] Moritz Diehl,et al. Real-Time Optimization for Large Scale Nonlinear Processes , 2001 .
[6] B.W. Roberts,et al. Harnessing High-Altitude Wind Power , 2007, IEEE Transactions on Energy Conversion.
[7] M. L. Loyd,et al. Crosswind kite power (for large-scale wind power production) , 1980 .
[8] Lorenzo Fagiano,et al. Power kites for wind energy generation , 2007 .
[9] Lorenzo Fagiano,et al. Power Kites for Wind Energy Generation [Applications of Control] , 2007, IEEE Control Systems.
[10] Frank Allgöwer,et al. Nonlinear Model Predictive Control , 2007 .
[11] Lorenzo Fagiano,et al. High Altitude Wind Energy Generation Using Controlled Power Kites , 2010, IEEE Transactions on Control Systems Technology.
[12] Lorenzo Mario Fagiano,et al. Control of Tethered Airfoils for High-Altitude Wind Energy Generation - Advanced control methods as key technologies for a breakthrough in renewable energy generation [Doctoral dissertation - Ph.D. in Information and System Engineering - Ciclo XXI - Politecnico di Torino] , 2009 .
[13] Gilbert M. Masters,et al. Renewable and Efficient Electric Power Systems , 2004 .
[14] Gilbert M. Masters,et al. Renewable and Efficient Electric Power Systems: Masters/Electric Power Systems , 2004 .
[15] Moritz Diehl,et al. Optimal control for power generating kites , 2007, 2007 European Control Conference (ECC).
[16] P. Veers,et al. To Capture the Wind , 2007, IEEE Power and Energy Magazine.