A technique parameterizes non-Gaussian confidence boundaries as perturbations from covariance predictions using skew and kurtosis tensors, applied to impulsive spacecraft maneuvers where it outperforms standard Gaussian methods.
Convex optimization over sequential linear feedback policies with continuous-time chance constraints
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Analytic Non-Gaussian Confidence Boundary Method for Chance-Constrained Trajectory Control
A technique parameterizes non-Gaussian confidence boundaries as perturbations from covariance predictions using skew and kurtosis tensors, applied to impulsive spacecraft maneuvers where it outperforms standard Gaussian methods.