20240919-1320

Real-Time Fuel-Optimal Guidance Using Deep Neural Networks and Differential Algebra

This work presents a method to compute continuous low-thrust fuel-optimal guidance updates on board a spacecraft using a combination of deep learning and differential algebraic techniques. In order to create the large datasets necessary to train neural networks, we also… Read More »Real-Time Fuel-Optimal Guidance Using Deep Neural Networks and Differential Algebra

Operational range bounding of spectroscopy models with anomaly detection

Safe operation of machine learning models requires architectures that explicitly delimit their operational ranges. We evaluate the ability of anomaly detection algorithms to provide indicators correlated with degraded model performance. By placing acceptance thresholds over such indicators, hard boundaries are… Read More »Operational range bounding of spectroscopy models with anomaly detection