@article{eprints2469,
       publisher = {Wiley-Blackwell},
           pages = {2055--2083},
           month = {December},
          number = {18},
          volume = {22},
           title = {Optimization of airborne wind energy generators},
         journal = {International Journal of Robust and Nonlinear Control },
            year = {2012},
          author = {Lorenzo Fagiano and Mario Milanese and Dario Piga},
        abstract = {This paper presents novel results related to an innovative airborne wind energy technology, named Kitenergy, for the conversion of high-altitude wind energy into electricity. The research activities carried out in the last five years, including theoretical analyses, numerical simulations, and experimental tests, indicate that Kitenergy could bring forth a revolution in wind energy generation, providing renewable energy in large quantities at a lower cost than fossil energy. This work investigates three important theoretical aspects: the evaluation of the performance achieved by the employed control law, the optimization of the generator operating cycle, and the possibility to generate continuously a constant and maximal power output. These issues are tackled through the combined use of modeling, control, and optimization methods that result to be key technologies for a significant breakthrough in renewable energy generation.},
        keywords = {wind energy, high-altitude wind energy, nonlinear model predictive control, optimization},
             url = {http://eprints.imtlucca.it/2469/}
}