3 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
Data-driven Output Regulation via Gaussian Processes and Luenberger Internal Models
Lorenzo Gentilini, Michelangelo Bin, Lorenzo Marconi
This paper deals with the problem of adaptive output regulation for multivariable nonlinear systems by presenting a learning-based adaptive internal model-based design strategy. Th…
Data-Driven Analytic Differentiation via High Gain Observers and Gaussian Process Priors
Biagio Trimarchi, Lorenzo Gentilini, Fabrizio Schiano +1
The presented paper tackles the problem of modeling an unknown function, and its first derivatives, out of scattered and poor-quality data. The considered setting embraces a…
Adaptive Nonlinear Regulation via Gaussian Process
Lorenzo Gentilini, Michelangelo Bin, Lorenzo Marconi
The paper deals with the problem of output regulation of nonlinear systems by presenting a learning-based adaptive internal model-based design strategy. We borrow from the adaptive…