A unified Bayesian framework combines trajectory knowledge with data-driven characterizations from offline data to handle smoothing, prediction, and control in linear systems with correlated uncertainties.
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A Unified Bayesian Framework for Data-Driven Smoothing, Prediction, and Control
A unified Bayesian framework combines trajectory knowledge with data-driven characterizations from offline data to handle smoothing, prediction, and control in linear systems with correlated uncertainties.