8 citations · 14 across the 2 of their papers we have counts for
5 papers
Actuation manifold from snapshot data
Luigi Marra, Guy Y. Cornejo Maceda, Andrea Meilán-Vila +5
We propose a data-driven methodology to learn a low-dimensional manifold of controlled flows. The starting point is resolving snapshot flow data for a representative ensemble of ac…
A goodness-of-fit test for regression models with spatially correlated errors
Andrea Meilán-Vila, Jean D. Opsomer, Mario Francisco-Fernández +1
The problem of assessing a parametric regression model in the presence of spatial correlation is addressed in this work. For that purpose, a goodness-of-fit test based on a -d…
Nonparametric estimation of circular trend surfaces with application to wave directions
Andrea Meilán-Vila, Rosa M. Crujeiras, Mario Francisco-Fernández
In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the {data measurements}. An important issue in ocean wave ana…
Self-tuning model predictive control for wake flows
Luigi Marra, Andrea Meilán-Vila, Stefano Discetti
This study presents a noise-robust closed-loop control strategy for wake flows employing model predictive control. The proposed control framework involves the autonomous offline se…
A computational validation for nonparametric assessment of spatial trends
Andrea Meilán-Vila, Rubén Fernández-Casal, Rosa M. Crujeiras Mario Francisco-Fernández
The analysis of continuously spatially varying processes usually considers two sources of variation, namely, the large-scale variation collected by the trend of the process, and th…