@inproceedings{5627d2dd9ea943c5abc4cb37dec15330,
title = "Robust Data-Driven Attitude Control for Satellite Using Koopman Operator Theory",
abstract = "This paper studies the synthesis of robust control for a satellite attitude control system without pre-knowledge of model dynamics. First, by exploring the time-series data of satellite angular velocity, a lifted discrete-time linear system is constructed using Koopman operator theory and extended dynamic mode decomposition. This system provides an explanation for a finite measurement history. Second, an H∞ controller is designed to attenuate the effect of external disturbances and approximation errors during the stabilization process. The proposed methodology is able to guarantee the robustness performance. Finally, numerical simulations are performed to validate the effectiveness of the proposed method.",
keywords = "Attitude Control, Data-driven Control, Extend Dynamic Mode Decomposition, Koopman Operator",
author = "Aijun Chen and Shichao Bu and Lei Cui and Wenhan Zhang and Jitao Li and Zhenhua Wang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 13th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2024 ; Conference date: 17-05-2024 Through 19-05-2024",
year = "2024",
doi = "10.1109/DDCLS61622.2024.10606625",
language = "英语",
series = "Proceedings of 2024 IEEE 13th Data Driven Control and Learning Systems Conference, DDCLS 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1417--1421",
booktitle = "Proceedings of 2024 IEEE 13th Data Driven Control and Learning Systems Conference, DDCLS 2024",
address = "美国",
}