**Publications**

**Journal papers**

- “Hamiltonian deep neural networks guaranteeing non-vanishing gradients by design”, C. Galimberti, L. Furieri, L. Xu, G. Ferrari Trecate, IEEE Transactions on Automatic Control (TAC), Special Issue on Learning and Control, 2023
- “Near-Optimal Design of Safe Output Feedback Controllers from Noisy Data”,

L. Furieri, B. Guo, A. Martin, G. Ferrari-Trecate, IEEE Transactions on Automatic Control (TAC), Special Issue on Learning and Control, 2022 - “System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation”, Y. Zheng, L. Furieri, M. Kamgarpour, N. Li, Automatica, 2022
- “Sparsity Invariance for Convex Design of Distributed Controllers”,

L. Furieri, Y. Zheng, A. Papachristodoulou, M. Kamgarpour, IEEE Transactions on Control of Network Systems (TCNS), pp. 1836 – 1847, 2020, IEEE TCNS BEST PAPER AWARD FOR THE PERIOD 2020-2021 - “Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids”,

A. Elahidoost, L. Furieri, M. Kamgarpour, E. Tedeschi, IEEE Access, pp. 98731 – 98745, 2021 - “On the Equivalence of Youla, System-level and Input-output Parameterizations”,

Y. Zheng, L. Furieri, A. Papachristodoulou, N. Li, M. Kamgarpour, IEEE Transactions on Automatic Control (TAC), pp. 413 – 420, 2020 - “An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis”, L. Furieri, Y. Zheng, A. Papachristodoulou, M. Kamgarpour, IEEE Control Systems Letters (LCSYS), pp. 1014 – 1019, 2020
- “Unified Approach to Convex Robust Distributed Control given Arbitrary Information Structures”, L. Furieri, M. Kamgarpour, IEEE Transactions on Automatic Control (TAC), pp. 5199 – 5206, 2019

**Conference Proceedings**

- “Closing the Gap to Quadratic Invariance: a Regret Minimization Approach to Optimal Distributed Control”,

D. Martinelli, A. Martin, G. Ferrari-Trecate, L. Furieri, European Control Conference (ECC), 2024, to appear - “Unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators”,

L. Massai, D. Saccani, L. Furieri, G. Ferrari-Trecate, European Control Conference (ECC), 2024, to appear - “Regret optimal control for uncertain stochastic systems”, A. Martin, L. Furieri, F. Dorfler, J. Lygeros, G. Ferrari-Trecate, European Control Conference (ECC), 2024, to appear
- “Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equa-

tions”, D. Martinelli, C. Galimberti, I. R. Manchester, L. Furieri, G. Ferrari-Trecate, IEEE Conference on Decision and Control (CDC), 2023, pp. 3043-3048 - “Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control”,

A. Martin, L. Furieri, F. Dorfler, J. Lygeros, G. Ferrari-Trecate, European Control Conference (ECC), 2024, to appear - “Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems”, L. Furieri, C. Galimberti, G. Ferrari-Trecate, IEEE Conference on Decision and Control (CDC), 2022
- “Distributed Neural Network Control with Dependability Guarantees,

L. Furieri, C. Galimberti, M. Zakwan, G. Ferrari-Trecate”, Conference on Learning For Dynamics and

Control and Proceedings of Machine Learning Research (PMLR), 2022, SPOTLIGHT PRESENTATION (best 16 of 176 submissions) - “Safe Control with Minimal Regret”,

A. Martin, L. Furieri, F Dorfler, J. Lygeros, G. Ferrari-Trecate, Conference on Learning For Dynamics and Control (L4DC) and Proceedings of Machine Learning Research (PMLR), 2022 - “Learning Robustly Safe Output Feedback Controllers from Noisy Data with Performance Guarantees”, L. Furieri, A. Martin, B. Guo, G. Ferrari-Trecate, Workshop Paper at Safe and Robust Control of Uncer- tain Systems Workshop at NeurIPS, 2021
- “Non Vanishing Gradients for Arbitrarily Deep Neural Networks: a Hamiltonian System Approach”, C. L. Galimberti, L. Furieri, L. Xu, G. Ferrari-Trecate, Workshop Paper at The Symbiosis of Deep Learning and Differential Equations Workshop at NeurIPS, 2021
- A Behavioral Input-Output “Parametrization of Control Policies with Suboptimality Guarantees”,

L. Furieri, B. Guo, A. Martin, G. Ferrari-Trecate, IEEE Conference on Decision and Control (CDC), 2021 - “Sample complexity of linear quadratic gaussian (LQG) control for output feedback systems”,

L. Furieri*, Y. Zheng*, M. Kamgarpour, N. Li, Conference on Learning For Dynamics and Control (L4DC) and Proceedings of Machine Learning Research (PMLR), 2021 - “Learning the Globally Optimal Distributed LQ Regulator”,

L. Furieri, Y. Zheng, M. Kamgarpour, Conference on Learning For Dynamics and Control (L4DC) and Proceedings of Machine Learning Research (PMLR), 2020 - “First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance”, L. Furieri, M. Kamgarpour, American Control Conference (ACC), 2020, pp. 4588-4593
- “On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers”,

L. Furieri, Y. Zheng, A. Papachristodoulou, M. Kamgarpour, European Control Conference (ECC), 2019, pp. 42-49, BEST STUDENT PAPER AWARD (finalist, top 5) - “Robust Distributed Control Beyond Quadratic Invariance”,

L. Furieri, M. Kamgarpour, Proceedings of the Annual IEEE Conference on Decision and Control (CDC), 2018, pp. 3728-3733 - “Reducing HVDC Network Oscillations Considering Wind Intermittency Through Optimized Grid Expansion Decision”,

A. Elahidoost, L. Furieri, E. Tedeschi, M. Kamgarpour, IEEE Energy Conversion Congress and Exposition (ECCE), 2018, pp. 2683–2690 - “Optimizing HVDC Grid Expansion and Control For Enhancing DC Stability”,

A. Elahidoost, L. Furieri, E. Tedeschi, M. Kamgarpour, Proceedings of the Power Systems Computation Conference (PSCC), 2018, pp. 1-7 - “Robust Control of Constrained Systems given an Information Structure”, L. Furieri, M. Kamgarpour, Proceedings of the Annual IEEE Conference on Decision and Control (CDC), 2017, pp. 3481-3486
- “Gone with the wind: nonlinear guidance for small fixed-wing aircraft in arbitrarily strong windfields”, L. Furieri, T. Stastny, L. Marconi, R. Siegwart, I. Gilitschenski, Proceedings of the American Control Conference (ACC), 2017, pp. 4254-4261,

O. HUGO SCHUCK BEST PAPER AWARD - “Internal model-based control for loitering maneuvers of UAVs”,

G. Casadei, L. Furieri, N. Mimmo, R. Naldi, L. Marconi, European Control Conference (ECC), 2016, pp. 672-677