Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning neural network control approach-Reference-Cited by-同舟云学术

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Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning neural network control approach

Published:2023-11 Issue: Volume:142 Page:108653
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Jia Qingxian,Gao Junnan,Zhang Chengxi^ORCID,Ahn Choon Ki^ORCID,Yu Dan^ORCID

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference34 articles.

1. Satellite Formation Flying;Mathavaraj,2021

2. Satellite swarm survey and new conceptual design for Earth observation applications;Farrag;Egypt. J. Remote Sens. Space Sci.,2021

3. Survey on guidance navigation and control requirements for spacecraft formation-flying missions;Di Mauro;J. Guid. Control Dyn.,2018

4. A survey on formation control of small satellites;Liu;Proc. IEEE,2018

5. Velocity-observer-based distributed finite-time attitude tracking control for multiple uncertain rigid spacecraft;Cui;IEEE Trans. Ind. Inform.,2020

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1. Self-learning for translational control of elliptical orbit spacecraft formations;Aircraft Engineering and Aerospace Technology;2024-07-29

2. Learning Chebyshev neural network-based spacecraft attitude tracking control ensuring finite-time prescribed performance;Aerospace Science and Technology;2024-05

3. Dynamic event‐triggered orbit coordination for spacecraft formation via a self‐learning sliding mode control approach;International Journal of Robust and Nonlinear Control;2024-03

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