PAC-Bayesian bounds are derived for quadratic closed-loop control via SLS parameterization, yielding Chernoff certificates for posteriors over responses, a mean-response deployment result, and a data-driven learning algorithm.
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A behavioral data-driven framework based on Willems' lemma generates optimal open-loop slewing trajectories for rotary cranes that suppress load sway using limited input-output data and convex optimization.
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PAC-Bayesian Certificates for Quadratic Closed-Loop Control
PAC-Bayesian bounds are derived for quadratic closed-loop control via SLS parameterization, yielding Chernoff certificates for posteriors over responses, a mean-response deployment result, and a data-driven learning algorithm.