A framework for refining probabilistic zonotope disturbance models from trajectory data to compute less conservative reachable sets for linear systems with mixed bounded and Gaussian uncertainties.
Scenario-based probabilistic reachable sets for recursively feasible stochastic model predictive control,
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Reachability Analysis With Probabilistic Zonotopes: Learning Realized Disturbances and Refining Aleatory Uncertainty
A framework for refining probabilistic zonotope disturbance models from trajectory data to compute less conservative reachable sets for linear systems with mixed bounded and Gaussian uncertainties.