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Safe and Efficient Model-free Adaptive Control via Bayesian Optimization

By Christopher König and others
Adaptive control approaches yield high-performance controllers when a precise system model or suitable parametrizations of the controller are available. Existing data-driven approaches for adaptive control mostly augment standard model-based methods with additional information about uncertainties in the dynamics or about disturbances. In this work, we propose a purely data-driven, model-free... Show more
March 2, 2021
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Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
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