@inproceedings{6256c44049ba4f699b4920111527357d,
title = "Adaptive Tracking Control for Hypersonic Flight Vehicle Using ADHDP",
abstract = "This paper investigates the tracking control problem for the uncertain system of hypersonic flight vehicle (HFV). An adaptive control scheme consisting of an adaptive baseline controller and an auxiliary optimization controller is proposed. The adaptive baseline controller is directly constructed by introducing a high-gain observer and only one neural network, which leads a much simpler design process than the backstepping scheme and does not require precise dynamics of HFv. Besides, action-dependent heuristic dynamic progranuning technology is applied to establish the auxiliary optimization controller, and the difference between the output and its reference signal can be further observed and minished by the auxiliary optimization controller. The stability is proved by Lyapunov theory and the superiority of the proposed strategy is verified by numerical simulation.",
keywords = "action-dependent heuristic dynamic progranuning, adaptive control, Hypersonic flight vehicle, neural network",
author = "Liang Shuai and Wang Daqian and Xu Bin",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022 ; Conference date: 28-10-2022 Through 30-10-2022",
year = "2022",
doi = "10.1109/DOCS55193.2022.9967480",
language = "英语",
series = "2022 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022",
}