Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach

Ali Baheri, Christopher Vermillion. Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach. In 2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017. pages 1365-1370, IEEE, 2017. [doi]

@inproceedings{BaheriV17,
  title = {Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach},
  author = {Ali Baheri and Christopher Vermillion},
  year = {2017},
  doi = {10.23919/ACC.2017.7963143},
  url = {https://doi.org/10.23919/ACC.2017.7963143},
  researchr = {https://researchr.org/publication/BaheriV17},
  cites = {0},
  citedby = {0},
  pages = {1365-1370},
  booktitle = {2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017},
  publisher = {IEEE},
  isbn = {978-1-5090-5992-8},
}