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ORCIDLuca Furieri
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2020 – today
- 2024
[j9]Andrea Martin
, Luca Furieri:
Learning to Optimize With Convergence Guarantees Using Nonlinear System Theory. IEEE Control. Syst. Lett. 8: 1355-1360 (2024)- [c15]Leonardo Massai, Danilo Saccani, Luca Furieri, Giancarlo Ferrari-Trecate:
Unconstrained Learning of Networked Nonlinear Systems via Free Parametrization of Stable Interconnected Operators. ECC 2024: 651-656 - [c14]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: 756-761 - [i23]Andrea Martin, Luca Furieri:
Learning to optimize with convergence guarantees using nonlinear system theory. CoRR abs/2403.09389 (2024) - [i22]Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate:
Learning to Boost the Performance of Stable Nonlinear Systems. CoRR abs/2405.00871 (2024) - 2023
- [j8]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): 2699-2714 (2023) - [j7]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): 3155-3162 (2023) - [c13]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: 3043-3048 - [i21]Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate:
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CoRR abs/2304.02976 (2023) - [i20]Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
Regret Optimal Control for Uncertain Stochastic Systems. CoRR abs/2304.14835 (2023) - [i19]Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
On the Guarantees of Minimizing Regret in Receding Horizon. CoRR abs/2306.14561 (2023) - [i18]Daniele Martinelli, Andrea Martin, Giancarlo Ferrari-Trecate, Luca Furieri:
Closing the Gap to Quadratic Invariance: a Regret Minimization Approach to Optimal Distributed Control. CoRR abs/2311.02068 (2023) - [i17]Leonardo Massai, Danilo Saccani, Luca Furieri, Giancarlo Ferrari-Trecate:
Unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators. CoRR abs/2311.13967 (2023) - 2022
- [j6]Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li:
System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. Autom. 140: 110211 (2022) - [c12]Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate:
Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems. CDC 2022: 2765-2770 - [c11]Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate:
Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach. L4DC 2022: 571-583 - [c10]Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
Safe Control with Minimal Regret. L4DC 2022: 726-738 - [i16]Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
Safe Control with Minimal Regret. CoRR abs/2203.00358 (2022) - [i15]Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate:
Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems. CoRR abs/2203.11812 (2022) - [i14]Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control. CoRR abs/2211.07389 (2022) - 2021
- [j5]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: 98731-98745 (2021) - [j4]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): 413-420 (2021) - [c9]Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate:
A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees. CDC 2021: 2539-2544 - [c8]Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li:
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. L4DC 2021: 559-570 - [i13]Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate:
A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees. CoRR abs/2102.13338 (2021) - [i12]Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate:
Near-Optimal Design of Safe Output Feedback Controllers from Noisy Data. CoRR abs/2105.10280 (2021) - [i11]Clara Lucía Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari-Trecate:
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design. CoRR abs/2105.13205 (2021) - [i10]Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate:
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach. CoRR abs/2112.09046 (2021) - 2020
- [j3]Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
Sparsity Invariance for Convex Design of Distributed Controllers. IEEE Trans. Control. Netw. Syst. 7(4): 1836-1847 (2020) - [c7]Luca Furieri, Maryam Kamgarpour:
First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. ACC 2020: 4588-4593 - [c6]Luca Furieri, Yang Zheng, Maryam Kamgarpour:
Learning the Globally Optimal Distributed LQ Regulator. L4DC 2020: 287-297
2010 – 2019
- 2019
- [j2]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): 1014-1019 (2019) - [j1]Luca Furieri, Maryam Kamgarpour:
Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures. IEEE Trans. Autom. Control. 64(12): 5199-5206 (2019) - [c5]Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. ECC 2019: 42-49 - [i9]Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis. CoRR abs/1903.03828 (2019) - [i8]Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. CoRR abs/1903.04096 (2019) - [i7]Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
Sparsity Invariance for Convex Design of Distributed Controllers. CoRR abs/1906.06777 (2019) - [i6]Luca Furieri, Maryam Kamgarpour:
First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. CoRR abs/1909.10999 (2019) - [i5]Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li:
On the Parameterization of Stabilizing Controllers using Closed-loop Responses. CoRR abs/1909.12346 (2019) - [i4]Luca Furieri, Yang Zheng, Maryam Kamgarpour:
Learning the Globally Optimal Distributed LQ Regulator. CoRR abs/1912.08774 (2019) - 2018
- [c4]Luca Furieri, Maryam Kamgarpour:
Robust Distributed Control Beyond Quadratic Invariance. CDC 2018: 3728-3733 - [i3]Luca Furieri, Maryam Kamgarpour:
Lowering the Upper Bounds on the Cost of Robust Distributed Controllers Beyond Quadratic Invariance. CoRR abs/1803.05528 (2018) - 2017
- [c3]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: 4254-4261 - [c2]Luca Furieri, Maryam Kamgarpour:
Robust control of constrained systems given an information structure. CDC 2017: 3481-3486 - [i2]Luca Furieri, Maryam Kamgarpour:
The Value of Communication in Synthesizing Controllers given an Information Structure. CoRR abs/1711.05324 (2017) - 2016
- [c1]Giacomo Casadei, Luca Furieri, Nicola Mimmo, Roberto Naldi, Lorenzo Marconi:
Internal model-based control for loitering maneuvers of UAVs. ECC 2016: 672-677 - [i1]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 abs/1609.07577 (2016)
Coauthor Index
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