Learning-based Parameter Optimization for a Class of Orbital Tracking Control Laws

Gianni Bianchini, Andrea Garulli, Antonio Giannitrapani +2

This paper presents a machine learning approach for tuning the parameters of a family of stabilizing controllers for orbital tracking. An augmented random search algorithm is deplo…