@inproceedings{a4834ee284ff45bfb0e43a917d4d95b5,
title = "Data-Based Spacecraft Rendezvous Control by SINDy",
abstract = "In this paper, we demonstrate a new model identification method for spacecraft rendezvous with few amounts of data and low computational burdens by utilizing sparse identification for nonlinear dynamical (SINDy). Besides, a control scheme composed of SINDy and Linear Quadratic Regulator (LQR) is demonstrated, which aims to enhance the robustness and optimality simultaneously. The numerical results show the effectiveness of the proposed control scheme for spacecraft rendezvous mission.",
keywords = "linear quadratic regulator, spacecraft rendezvous, sparse identification for nonlinear dynamical",
author = "Jin Tan and Duan, \{Guang Ren\} and Mingming Shi and Bin Li",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2216-0\_40",
language = "英语",
isbn = "9789819622153",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "412--421",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 5",
address = "德国",
}