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Physics-Informed Gaussian Process Learning on Lie Groups

delete2025-09-01
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PRE
AI
T
Tianzhi Li
J
Jinzhi Wang *
DOI:10.2514/1.G008754delete
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Abstract

Abstract

En
Keywords:
Satellites
Hyperparameter Optimization
Runge Kutta Methods
Geometric Mechanics
Geometric Numerical Integration
Physics-Informed Learning
Lie Groups
Structure-Preserving

Journal

J
Journal of Guidance Control and Dynamics
IF:
2.8
Papers:
198
Citations:
1.3W

Organization

P
peking university
Scholars:
11.9W
Papers: 8.7W
Citations: 146
Cited Papers

Cited Papers

Hamel’s Formalism and Variational Integrators
err2015-01-01
err0
PREAI
errBall,Kenneth R.; Zenkov,Dmitry V.
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Machine learning of linear differential equations using Gaussian processes
err2017-11-01
err435
errOAAI
errRaissi, Maziar; Perdikaris, Paris; Karniadakis, George Em
errShare
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Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes
err2018-08-01
err88
errOAAI
errSolin, Arno; Kok, Manon; Wahlstrom, Niklas; Schon, Thomas B.; Sarkka, Simo
errShare
errSave
errShare
errSave
Hamel’s Formalism for Classical Field Theories
err2020-01-20
err0
PREAI
errDonghua Shi; Dmitry V. Zenkov; Anthony M. Bloch
errShare
errSave
Discrete mechanics and variational integrators
err2003-01-09
err0
errOAAI
errJ. E. Marsden; M. West
errShare
errSave
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