Unscented Kalman filter with stable embedding for simple, accurate, and computationally efficient state estimation of systems on manifolds in Euclidean space

DOI10.1002/rnc.6514arXiv2208.10162OpenAlexW4310563317MaRDI QIDQ6190232

Dong Eui Chang, Unnamed Author

Publication date: 6 February 2024

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2208.10162

zbMATH Keywords

manifoldsatelliteattitude estimationunscented Kalman filterstable embedding

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10)

Cites Work

• Robust Kalman filtering for small satellite attitude estimation in the presence of measurement faults
• Feedback integrators
• Unscented Kalman filtering on Riemannian manifolds
• Fast Multiple-Precision Evaluation of Elementary Functions
• On controller design for systems on manifolds in Euclidean space
• Lie Algebraic Unscented Kalman Filter for Pose Estimation
• Lie Groups, Lie Algebras, and Representations
• On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems
• Various Ways to Compute the Continuous-Discrete Extended Kalman Filter
• Robust adaptive unscented Kalman filter for attitude estimation of pico satellites
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