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cs.LG2024★ 1 cited
Gaussian kernel expansion with basis functions uniformly bounded in
Mauro Bisiacco, Gianluigi Pillonetto
Kernel expansions are a topic of considerable interest in machine learning, also because of their relation to the so-called feature maps introduced in machine learning. Properties…
eess.SY2024
The Bayesian Separation Principle for Data-driven Control
Giacomo Baggio, Ruggero Carli, Riccardo Alessandro Grimaldi +1
In this paper we investigate the existence of a separation principle between model identification and control design in the context of model predictive control. First, we clarify t…