Internal model-based control for loitering maneuvers of UAVs. - Giacomo Casadei; Luca Furieri; Nicola Mimmo; Roberto Naldi; Lorenzo Marconi 001 (ECC, 2016)

Gone with the Wind: Nonlinear Guidance for Small Fixed-Wing Aircrafts in Arbitrarily Strong Windfields. - Luca Furieri; Thomas Stastny; Lorenzo Marconi 001; Roland Siegwart; Igor Gilitschenski (CoRR, 2016)

Gone with the wind: Nonlinear guidance for small fixed-wing aircraft in arbitrarily strong windfields. - Luca Furieri; Thomas Stastny; Lorenzo Marconi 001; Roland Siegwart; Igor Gilitschenski (ACC, 2017)

Robust control of constrained systems given an information structure. - Luca Furieri; Maryam Kamgarpour (CDC, 2017)

The Value of Communication in Synthesizing Controllers given an Information Structure. - Luca Furieri; Maryam Kamgarpour (CoRR, 2017)

Robust Distributed Control Beyond Quadratic Invariance. - Luca Furieri; Maryam Kamgarpour (CDC, 2018)

Lowering the Upper Bounds on the Cost of Robust Distributed Controllers Beyond Quadratic Invariance. - Luca Furieri; Maryam Kamgarpour (CoRR, 2018)

On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. - Luca Furieri; Yang Zheng 001; Antonis Papachristodoulou; Maryam Kamgarpour (ECC, 2019)

On the Parameterization of Stabilizing Controllers using Closed-loop Responses. - Yang Zheng 001; Luca Furieri; Maryam Kamgarpour; Na Li 002 (CoRR, 2019)

An Input-Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis. - Luca Furieri; Yang Zheng 001; Antonis Papachristodoulou; Maryam Kamgarpour (IEEE Control. Syst. Lett., 2019)

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures. - Luca Furieri; Maryam Kamgarpour (IEEE Trans. Autom. Control., 2019)

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. - Luca Furieri; Maryam Kamgarpour (ACC, 2020)

Learning the Globally Optimal Distributed LQ Regulator. - Luca Furieri; Yang Zheng 001; Maryam Kamgarpour (L4DC, 2020)

Sparsity Invariance for Convex Design of Distributed Controllers. - Luca Furieri; Yang Zheng 001; Antonis Papachristodoulou; Maryam Kamgarpour (IEEE Trans. Control. Netw. Syst., 2020)

A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees. - Luca Furieri; Baiwei Guo; Andrea Martin; Giancarlo Ferrari-Trecate (CDC, 2021)

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. - Yang Zheng 001; Luca Furieri; Maryam Kamgarpour; Na Li 002 (L4DC, 2021)

Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids. - Atousa Elahidoost; Luca Furieri; Maryam Kamgarpour; Elisabetta Tedeschi (IEEE Access, 2021)

Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design. - Clara Lucía Galimberti; Luca Furieri; Liang Xu 005; Giancarlo Ferrari-Trecate (CoRR, 2021)

On the Equivalence of Youla, System-Level, and Input-Output Parameterizations. - Yang Zheng 001; Luca Furieri; Antonis Papachristodoulou; Na Li 002; Maryam Kamgarpour (IEEE Trans. Autom. Control., 2021)

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems. - Luca Furieri; Clara Lucía Galimberti; Giancarlo Ferrari-Trecate (CDC, 2022)

Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach. - Luca Furieri; Clara Lucía Galimberti; Muhammad Zakwan; Giancarlo Ferrari-Trecate (L4DC, 2022)

Safe Control with Minimal Regret. - Andrea Martin; Luca Furieri; Florian Dörfler; John Lygeros; Giancarlo Ferrari-Trecate (L4DC, 2022)

System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. - Yang Zheng 001; Luca Furieri; Maryam Kamgarpour; Na Li 002 (Autom., 2022)

Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control. - Andrea Martin; Luca Furieri; Florian Dörfler; John Lygeros; Giancarlo Ferrari-Trecate (CoRR, 2022)

Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. - Daniele Martinelli; Clara Lucía Galimberti; Ian R. Manchester; Luca Furieri; Giancarlo Ferrari-Trecate (CDC, 2023)

Near-Optimal Design of Safe Output-Feedback Controllers From Noisy Data. - Luca Furieri; Baiwei Guo; Andrea Martin; Giancarlo Ferrari-Trecate (IEEE Trans. Autom. Control., 2023)

Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design. - Clara Lucía Galimberti; Luca Furieri; Liang Xu 005; Giancarlo Ferrari-Trecate (IEEE Trans. Autom. Control., 2023)

Optimal distributed control with stability guarantees by training a network of neural closed-loop maps. - Danilo Saccani; Leonardo Massai; Luca Furieri; Giancarlo Ferrari-Trecate (CDC, 2024)

Closing the Gap to Quadratic Invariance: A Regret Minimization Approach to Optimal Distributed Control. - Daniele Martinelli; Andrea Martin; Giancarlo Ferrari-Trecate; Luca Furieri (ECC, 2024)

Unconstrained Learning of Networked Nonlinear Systems via Free Parametrization of Stable Interconnected Operators. - Leonardo Massai; Danilo Saccani; Luca Furieri; Giancarlo Ferrari-Trecate (ECC, 2024)

Learning to Boost the Performance of Stable Nonlinear Systems. - Luca Furieri; Clara Lucía Galimberti; Giancarlo Ferrari-Trecate (CoRR, 2024)

Parametrizations of All Stable Closed-loop Responses: From Theory to Neural Network Control Design. - Clara Lucía Galimberti; Luca Furieri; Giancarlo Ferrari-Trecate (CoRR, 2024)

Learning to Optimize With Convergence Guarantees Using Nonlinear System Theory. - Andrea Martin; Luca Furieri (IEEE Control. Syst. Lett., 2024)

Regret optimal control for uncertain stochastic systems. - Andrea Martin; Luca Furieri; Florian Dörfler; John Lygeros; Giancarlo Ferrari-Trecate (Eur. J. Control, 2024)

On the Guarantees of Minimizing Regret in Receding Horizon. - Andrea Martin; Luca Furieri; Florian Dörfler; John Lygeros; Giancarlo Ferrari-Trecate (IEEE Trans. Autom. Control., 2025)

MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning. - Luca Furieri; Sucheth Shenoy; Danilo Saccani; Andrea Martin; Giancarlo Ferrari-Trecate (CoRR, 2025)