Luca Furieri

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 47

Top Topics

Distributed Control

Regret Minimization

Nonlinear Systems

Receding Horizon

Top Venues

IEEE Trans. Autom. Control.

Publications

Leonardo Massai, Danilo Saccani, Luca Furieri, Giancarlo Ferrari-Trecate
Unconstrained Learning of Networked Nonlinear Systems via Free Parametrization of Stable Interconnected Operators. ECC (2024)
Andrea Martin, Luca Furieri
Learning to Optimize With Convergence Guarantees Using Nonlinear System Theory. IEEE Control. Syst. Lett. 8 (2024)
Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate
Learning to Boost the Performance of Stable Nonlinear Systems. CoRR (2024)
Daniele Martinelli, Andrea Martin, Giancarlo Ferrari-Trecate, Luca Furieri
Closing the Gap to Quadratic Invariance: A Regret Minimization Approach to Optimal Distributed Control. ECC (2024)
Andrea Martin, Luca Furieri
Learning to optimize with convergence guarantees using nonlinear system theory. CoRR (2024)
Leonardo Massai, Danilo Saccani, Luca Furieri, Giancarlo Ferrari-Trecate
Unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators. CoRR (2023)
Daniele Martinelli, Andrea Martin, Giancarlo Ferrari-Trecate, Luca Furieri
Closing the Gap to Quadratic Invariance: a Regret Minimization Approach to Optimal Distributed Control. CoRR (2023)
Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate
Near-Optimal Design of Safe Output-Feedback Controllers From Noisy Data. IEEE Trans. Autom. Control. 68 (5) (2023)
Clara Lucía Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari-Trecate
Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design. IEEE Trans. Autom. Control. 68 (5) (2023)
Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
On the Guarantees of Minimizing Regret in Receding Horizon. CoRR (2023)
Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CDC (2023)
Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
Regret Optimal Control for Uncertain Stochastic Systems. CoRR (2023)
Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CoRR (2023)
Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
Safe Control with Minimal Regret. CoRR (2022)
Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
Safe Control with Minimal Regret. L4DC (2022)
Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate
Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems. CDC (2022)
Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control. CoRR (2022)
Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate
Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach. L4DC (2022)
Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate
Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems. CoRR (2022)
Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. Autom. 140 (2022)
Atousa Elahidoost, Luca Furieri, Maryam Kamgarpour, Elisabetta Tedeschi
Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids. IEEE Access 9 (2021)
Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate
Near-Optimal Design of Safe Output Feedback Controllers from Noisy Data. CoRR (2021)
Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach. CoRR (2021)
Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate
A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees. CDC (2021)
Clara Lucía Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari-Trecate
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design. CoRR (2021)
Yang Zheng, Luca Furieri, Antonis Papachristodoulou, Na Li, Maryam Kamgarpour
On the Equivalence of Youla, System-Level, and Input-Output Parameterizations. IEEE Trans. Autom. Control. 66 (1) (2021)
Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. L4DC (2021)
Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate
A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees. CoRR (2021)
Luca Furieri, Yang Zheng, Maryam Kamgarpour
Learning the Globally Optimal Distributed LQ Regulator. L4DC (2020)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
Sparsity Invariance for Convex Design of Distributed Controllers. IEEE Trans. Control. Netw. Syst. 7 (4) (2020)
Luca Furieri, Maryam Kamgarpour
First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. ACC (2020)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. ECC (2019)
Luca Furieri, Maryam Kamgarpour
Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures. IEEE Trans. Autom. Control. 64 (12) (2019)
Luca Furieri, Yang Zheng, Maryam Kamgarpour
Learning the Globally Optimal Distributed LQ Regulator. CoRR (2019)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis. CoRR (2019)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. CoRR (2019)
Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
On the Parameterization of Stabilizing Controllers using Closed-loop Responses. CoRR (2019)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
Sparsity Invariance for Convex Design of Distributed Controllers. CoRR (2019)
Luca Furieri, Maryam Kamgarpour
First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. CoRR (2019)
Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
An Input-Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis. IEEE Control. Syst. Lett. 3 (4) (2019)
Luca Furieri, Maryam Kamgarpour
Robust Distributed Control Beyond Quadratic Invariance. CDC (2018)
Luca Furieri, Maryam Kamgarpour
Lowering the Upper Bounds on the Cost of Robust Distributed Controllers Beyond Quadratic Invariance. CoRR (2018)
Luca Furieri, Maryam Kamgarpour
The Value of Communication in Synthesizing Controllers given an Information Structure. CoRR (2017)
Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart, Igor Gilitschenski
Gone with the wind: Nonlinear guidance for small fixed-wing aircraft in arbitrarily strong windfields. ACC (2017)
Luca Furieri, Maryam Kamgarpour
Robust control of constrained systems given an information structure. CDC (2017)
Giacomo Casadei, Luca Furieri, Nicola Mimmo, Roberto Naldi, Lorenzo Marconi
Internal model-based control for loitering maneuvers of UAVs. ECC (2016)
Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart, Igor Gilitschenski
Gone with the Wind: Nonlinear Guidance for Small Fixed-Wing Aircrafts in Arbitrarily Strong Windfields. CoRR (2016)