Gaussian Process Regression Based Pose Tracking Control for Multiple Spacecraft Rendezvous
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3328-6_20
Reference17 articles.
1. Hao, Y., Lin, X., Xia, C., Xu, F., Wang, X.: Spacecraft close-range position tracking control via system uncertainty observer. In: 2022 6th IAEAC, vol. 22240691 (2022). https://doi.org/10.1109/IAEAC54830.2022.9929910
2. Sun, L., Zheng, Z.: Adaptive relative pose control for autonomous spacecraft rendezvous and proximity operations with thrust misalignment and model uncertainties. Adv. Space Res. 59(7), 1861–1871 (2017). https://doi.org/10.1016/j.asr.2017.01.005
3. Binette, M.R., Damaren, C.J., Pavel, L.: Nonlinear $$ H_\infty $$ attitude control using modified Rodrigues parameters. J. Guidance Control Dyn. 37(6), 2017–2020 (2014). https://doi.org/10.2514/1.G000511
4. Aftab, W., Mihaylovan, L.: A Gaussian process regression approach for point target tracking. In: 2019 22th FUSION, vol. 19411374 (2019). https://doi.org/10.23919/FUSION43075.2019.9011310
5. Yu, H., Tan, Q., Han, L., Dong, X., Li, Q., Ren, Z..: Online data-driven model predictive control in variable noise environment based on neural network and Gaussian process regression. In: 2022 CAC, vol. 22811283 (2023). https://doi.org/10.1109/CAC57257.2022.10056074
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