All Events

Dec 6

Defense: Bayesian mixture models for multiple time series

Annalisa Cadonna
Ph.D. Candidate

Abstract:We introduce a novel Bayesian modeling approach to spectral density estimation for multiple time series. The log-periodogram of each series is modeled as a mixture of Gaussian distributions with frequency-dependent weights and mean functions. The implied model for the log-... Read More

Nov 30

Advancement: Energy-Efficient Agile Attitude Maneuvering For Reaction Wheel Spacecraft

Harleigh Marsh
PhD Student

In this report we develop energy-metrics that are in-line with true energy costs incurred when performing a slew using reaction wheels. These energy-metrics are incorporated into four constrained nonlinear optimal control formulations, which enables a detailed analysis on the ... Read More

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