A data-driven framework synthesizes stochastic control barrier certificates and safety controllers for unknown polynomial stochastic systems, with probabilistic safety guarantees and certified confidence from multiple noisy trajectories.
Gaussian processes for machine learning,
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Data-Driven Stochastic Control: Foundations and Guarantees
A data-driven framework synthesizes stochastic control barrier certificates and safety controllers for unknown polynomial stochastic systems, with probabilistic safety guarantees and certified confidence from multiple noisy trajectories.