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• W2898053018 abstract "To reduce computation time while limiting loss in accuracy when propagating an orbit state probability density function, this work seeks to develop an adaptive approach to multi-fidelity uncertainty propagation for applications in astrodynamics. Using the method of stochastic collocation, a set of particles produced via a low-fidelity solver defines a basis used in the surrogate over the space of propagated states. This basis allows for identifying a subset of important samples that are re-propagated using a high-fidelity propagator, which defines a correction for the original basis. This approach reduces computation time for propagating a particle ensemble or a Gaussian mixture model via the unscented transform. This paper demonstrates the efficacy of this method for several Earth-orbit test cases, and provides a means for merging general and special perturbation theories to produce a posterior probability density function more statistically consistent with a precise estimated state." @default.
• W2898053018 created "2018-10-26" @default.
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• W2898053018 creator A5083904828 @default.
• W2898053018 date "2019-02-01" @default.
• W2898053018 modified "2023-09-29" @default.
• W2898053018 title "Multi-fidelity orbit uncertainty propagation" @default.
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• W2898053018 doi "https://doi.org/10.1016/j.actaastro.2018.10.023" @default.
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