Daniel J. Scheeres

Autoencoder Neural Networks for Representations of Periodic Orbit Families

Traditional methods for parameterizing and storing periodic orbit families use discretized representations of the family. In this work, continuous parameterizations of periodic orbit families in the Earth/Moon system are developed using techniques from machine learning. Autoencod...