Reinforcement learning strategy for spacecraft attitude hyperagile tracking control with uncertainties
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- Authors
- Zheng, M., Wu, Y., & Li, C.
- Affiliations
- China Electronics Technology Group Corporation (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
- Zhejiang University (CN)
- Corresponding author
- Wu, Yunhua
- Li, Chaoyong
- Venue
- Aerospace Science and Technology
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 119
- Pages
- 107126
- ISSN
- 1270-9638 (ISSN-L)
- OpenAlex
- W3203239815
- Cited by
- 37
- References
- 37
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 8 · 2023: 6 · 2022: 10
- FWCI
- 3.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Aerospace Science and Technology (publishedVersion)
- Funders
- National Natural Science Foundation of China (61973153)
- Natural Science Foundation of Zhejiang Province (LR20F030003)
- Qinglan Project of Jiangsu Province of China
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Dynamics and Control
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Keywords
- reinforcement learning, sliding mode observer, disturbance rejection, periodic disturbances
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