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Analytical Confidence Boundaries for Non-Gaussian Uncertainty in Perturbed Spacecraft Dynamics
Niccolò Michelotti, Ethan R. Burnett, Francesco Topputo
This work investigates nonlinear uncertainty propagation in perturbed astrodynamics, focusing on the rapid characterization of non-Gaussian distributions and the construction of th…
An Efficient Non-Gaussian Chance Constraint Method for Stochastic Nonlinear Problems in Spaceflight
Ethan R. Burnett, Spencer Boone, Niccolo Michelotti
Standard chance-constrained spacecraft guidance typically relies on the assumption that uncertainties in vehicle states obey Gaussian statistics. In frontier applications such as t…
Efficient Nonlinear Uncertainty Quantification for Spaceflight Leveraging Nonlinear Expansions
Ethan R. Burnett, Spencer Boone
This paper provides a comparative study of modern uncertainty quantification (UQ) methods. To greatly enhance real-time performance, both differential algebra (DA) and a directiona…
Chance-Constrained, Drift-Safe Guidance for Spacecraft Rendezvous
Andrew W. Berning, Ethan R. Burnett, Stefan Bieniawski
A robust drift-safe rendezvous trajectory optimization tool is developed in this work, with applications to orbital rendezvous and proximity operations. The method is based on dire…