Search Results for author:
Found 3 papers, 0 papers with code
Data-driven Output Regulation via Gaussian Processes and Luenberger Internal Models
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.
Data-Driven Analytic Differentiation via High Gain Observers and Gaussian Process Priors
The presented paper tackles the problem of modeling an unknown function, and its first $r-1$ derivatives, out of scattered and poor-quality data.
Adaptive Nonlinear Regulation via Gaussian Process
The paper deals with the problem of output regulation of nonlinear systems by presenting a learning-based adaptive internal model-based design strategy.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
