A physics-informed Gaussian process model is combined with a modified matching equation to design a passivity-based tracking controller with probabilistic stability guarantees.
Passivity-based controllers for the stabilization of dc-to-dc power converters,
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Physics-informed Learning for Passivity-based Tracking Control
A physics-informed Gaussian process model is combined with a modified matching equation to design a passivity-based tracking controller with probabilistic stability guarantees.