Adaptive entropy and covariance-based simplified Gaussian mixture algorithm for nonlinear uncertainty propagation in orbital elements-Reference-Cited by-同舟云学术

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Adaptive entropy and covariance-based simplified Gaussian mixture algorithm for nonlinear uncertainty propagation in orbital elements

Published:2024-12 Issue: Volume:155 Page:109534
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Yu Yanjun,Colombo Camilla,Yue Chengfei^ORCID,Gonzalo Juan Luis^ORCID,Li Huayi

Publisher

Elsevier BV

Reference36 articles.

1. A model predictive solution to cooperative guidance of hypersonic reentry vehicle with impact angle and distance coordination;Cheng;Aerosp. Sci. Technol.,2024

2. Collision risk-perceptive landing control for small-body missions;Ge;IEEE Trans. Aerosp. Electron. Syst.,2021

3. A joint guidance and control framework for autonomous obstacle avoidance in quadrotor formations under model uncertainty;Ma;Aerosp. Sci. Technol.,2023

4. Toward rapid and optimal strategy for swarm conflict: a computational game approach;Zhang;IEEE Trans. Aerosp. Electron. Syst.,2024

5. A review of uncertainty propagation in orbital mechanics;Luo;Prog. Aerosp. Sci.,2017

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