@inproceedings{fb0f0d04e4d24d5aa1cd76ebcf93142b,
title = "Data-Driven Adaptive Optimal Control of UAV",
abstract = "This paper studies a data-driven adaptive optimal attitude control problem of a quadrotor unmanned aerial vehicle(UAV) via state feedback. A novel sampled-data-based adaptive dynamic programming (ADP) method is developed. We consider the uncertain system parameters and external disturbances. Then the optimal feedback gain is iteratively learned by input/state information. The stability of this method is ensured theoretically. Finally, simulation results are presented to verify the effectiveness of the method.",
keywords = "Adaptive optimal control, Data-driven, Linear quadratic regulator(LQR), UAV",
author = "Shuai Du and Xiaoli Wang and Zean Li",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Chinese Automation Congress, CAC 2020 ; Conference date: 06-11-2020 Through 08-11-2020",
year = "2020",
month = nov,
day = "6",
doi = "10.1109/CAC51589.2020.9327861",
language = "英语",
series = "Proceedings - 2020 Chinese Automation Congress, CAC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2312--2317",
booktitle = "Proceedings - 2020 Chinese Automation Congress, CAC 2020",
address = "美国",
}