3 papers
eess.SY2026
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…
eess.SY2026
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…
math.OC2026
Optimal Control and Neural Porkchop Analysis for Low-Thrust Asteroid Rendezvous Mission
Zhong Zhang, Niccolò Michelotti, Gonçalo Oliveira Pinho +2
This paper presents a comparative study of the applicability and accuracy of optimal control methods and neural network-based estimators in the context of porkchop plots for prelim…