Publications by Luca Furieri | EPFL Graph Search

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Hamiltonian Deep Neural Networks Guaranteeing Non-Vanishing Gradients by Design

Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations

Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control

Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems

Learning Robustly Safe Output Feedback Controllers from Noisy Data with Performance Guarantees

Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids

On the Equivalence of Youla, System-Level, and Input-Output Parameterizations

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance