Convex Approach to Covariance Control with Application to Stochastic Low-Thrust Trajectory Optimization

What is it about?

This paper outlines a novel approach to designing optimal space trajectories while explicitly accounting for uncertainties. The problem of finding a nominal optimal path and a robust feedback control policy is cast as a convex optimization problem, thus solvable systematically with low computational complexity.

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