activity
20222026
most citedComparative analysis of machine learning methods for active flow control

60 citations · 60 across the 6 of their papers we have counts for

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5 papers · 1 filter

physics.flu-dyn2025

Learning with Physical Constraints

Miguel A. Mendez, Jan van Den Berghe, Manuel Ratz +2

This chapter provides three tutorial exercises on physics-constrained regression. These are implemented as toy problems that seek to mimic grand challenges in (1) the super-resolut…

math.GR2025

Unisingular representations of rank 1 finite simple groups of Lie type

Marco Antonio Pellegrini, Lorenzo Schena

A representation of a finite group is called unisingular if the matrix admits as an eigenvalue for any . In this paper,…

eess.SY2025

Nonlinear System Identification for Model-Based Control of Waked Wind Turbines

Sebastiano Randino, Lorenzo Schena, Nicolas Coudou +2

This work presents a nonlinear system identification framework for modeling the power extraction dynamics of wind turbines, including both freestream and waked conditions. The appr…

cs.RO2025

Reinforcement Twinning for Hybrid Control of Flapping-Wing Drones

Romain Poletti, Lorenzo Schena, Lilla Koloszar +2

Controlling flapping-wing drones requires controllers that handle time-varying, nonlinear, underactuated dynamics from incomplete, noisy sensor data. Recent advances in artificial…

eess.SY2025

POD-Based Sparse Stochastic Estimation of Wind Turbine Blade Vibrations

Lorenzo Schena, Wim Munters, Jan Helsen +1

This study presents a framework for estimating the full vibrational state of wind turbine blades from sparse deflection measurements. The identification is performed in a reduced-o…