Luca Furieri - RankMe

60 papers C 2Journal 43Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Characterizing All Locally Exponentially Stabilizing Controllers as a Linear Feedback Plus Learnable Nonlinear Youla Dynamics. CoRR Luca Furieri
2026	J	`jnl`	Safety-Aware Performance Boosting for Constrained Nonlinear Systems. CoRR Danilo Saccani, Haoming Shen, Luca Furieri, Giancarlo Ferrari-Trecate
2026	J	`jnl`	Stability-Preserving Online Adaptation of Neural Closed-loop Maps. CoRR Danilo Saccani, Luca Furieri, Giancarlo Ferrari-Trecate
2025	J	`jnl`	A graph-informed regret metric for optimal distributed control. CoRR Daniele Martinelli, Andrea Martin, Giancarlo Ferrari-Trecate, Luca Furieri
2025	J	`jnl`	Learning to optimize with guarantees: a complete characterization of linearly convergent algorithms. CoRR Andrea Martin, Ian R. Manchester, Luca Furieri
2025	—	`conf`	MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning. CDC Luca Furieri, Sucheth Shenoy, Danilo Saccani, Andrea Martin, Giancarlo Ferrari-Trecate
2025	J	`jnl`	MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning. CoRR Luca Furieri, Sucheth Shenoy, Danilo Saccani, Andrea Martin, Giancarlo Ferrari-Trecate
2025	J	`jnl`	On the Guarantees of Minimizing Regret in Receding Horizon. IEEE Trans. Autom. Control. Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
2025	J	`jnl`	Parametrizations of all stable closed-loop responses: From theory to neural network control design. Annu. Rev. Control. Clara Lucía Galimberti, Luca Furieri, Giancarlo Ferrari-Trecate
2025	J	`jnl`	Scaling up Stability: Reinforcement Learning for Distributed Control of Networked Systems in the Space of Stabilizing Policies. CoRR John Cao, Luca Furieri
2024	—	`conf`	Closing the Gap to Quadratic Invariance: A Regret Minimization Approach to Optimal Distributed Control. ECC Daniele Martinelli, Andrea Martin, Giancarlo Ferrari-Trecate, Luca Furieri
2024	J	`jnl`	Learning to Boost the Performance of Stable Nonlinear Systems. CoRR Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate
2024	J	`jnl`	Learning to Optimize With Convergence Guarantees Using Nonlinear System Theory. IEEE Control. Syst. Lett. Andrea Martin, Luca Furieri
2024	J	`jnl`	Learning to optimize with convergence guarantees using nonlinear system theory. CoRR Andrea Martin, Luca Furieri
2024	—	`conf`	Optimal distributed control with stability guarantees by training a network of neural closed-loop maps. CDC Danilo Saccani, Leonardo Massai, Luca Furieri, Giancarlo Ferrari-Trecate
2024	J	`jnl`	Parametrizations of All Stable Closed-loop Responses: From Theory to Neural Network Control Design. CoRR Clara Lucía Galimberti, Luca Furieri, Giancarlo Ferrari-Trecate
2024	J	`jnl`	Regret optimal control for uncertain stochastic systems. Eur. J. Control Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
2024	—	`conf`	Unconstrained Learning of Networked Nonlinear Systems via Free Parametrization of Stable Interconnected Operators. ECC Leonardo Massai, Danilo Saccani, Luca Furieri, Giancarlo Ferrari-Trecate
2023	J	`jnl`	Closing the Gap to Quadratic Invariance: a Regret Minimization Approach to Optimal Distributed Control. CoRR Daniele Martinelli, Andrea Martin, Giancarlo Ferrari-Trecate, Luca Furieri
2023	J	`jnl`	Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design. IEEE Trans. Autom. Control. Clara Lucía Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari-Trecate
2023	J	`jnl`	Near-Optimal Design of Safe Output-Feedback Controllers From Noisy Data. IEEE Trans. Autom. Control. Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate
2023	J	`jnl`	On the Guarantees of Minimizing Regret in Receding Horizon. CoRR Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
2023	J	`jnl`	Regret Optimal Control for Uncertain Stochastic Systems. CoRR Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
2023	—	`conf`	Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CDC Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate
2023	J	`jnl`	Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CoRR Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate
2023	J	`jnl`	Unconstrained learning of networked nonlinear systems via free parametrization of stable interconnected operators. CoRR Leonardo Massai, Danilo Saccani, Luca Furieri, Giancarlo Ferrari-Trecate
2022	—	`conf`	Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach. L4DC Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate
2022	J	`jnl`	Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control. CoRR Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
2022	—	`conf`	Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems. CDC Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate
2022	J	`jnl`	Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems. CoRR Luca Furieri, Clara Lucía Galimberti, Giancarlo Ferrari-Trecate
2022	—	`conf`	Safe Control with Minimal Regret. L4DC Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
2022	J	`jnl`	Safe Control with Minimal Regret. CoRR Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate
2022	J	`jnl`	System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. Autom. Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
2021	—	`conf`	A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees. CDC Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate
2021	J	`jnl`	A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees. CoRR Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate
2021	J	`jnl`	Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach. CoRR Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate
2021	J	`jnl`	Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design. CoRR Clara Lucía Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari-Trecate
2021	J	`jnl`	Near-Optimal Design of Safe Output Feedback Controllers from Noisy Data. CoRR Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate
2021	J	`jnl`	On the Equivalence of Youla, System-Level, and Input-Output Parameterizations. IEEE Trans. Autom. Control. Yang Zheng, Luca Furieri, Antonis Papachristodoulou, Na Li, Maryam Kamgarpour
2021	J	`jnl`	Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids. IEEE Access Atousa Elahidoost, Luca Furieri, Maryam Kamgarpour, Elisabetta Tedeschi
2021	—	`conf`	Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. L4DC Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
2020	C	`conf`	First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. ACC Luca Furieri, Maryam Kamgarpour
2020	—	`conf`	Learning the Globally Optimal Distributed LQ Regulator. L4DC Luca Furieri, Yang Zheng, Maryam Kamgarpour
2020	J	`jnl`	Sparsity Invariance for Convex Design of Distributed Controllers. IEEE Trans. Control. Netw. Syst. Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	J	`jnl`	An Input-Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis. IEEE Control. Syst. Lett. Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	J	`jnl`	An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis. CoRR Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	J	`jnl`	First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance. CoRR Luca Furieri, Maryam Kamgarpour
2019	J	`jnl`	Learning the Globally Optimal Distributed LQ Regulator. CoRR Luca Furieri, Yang Zheng, Maryam Kamgarpour
2019	—	`conf`	On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. ECC Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	J	`jnl`	On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. CoRR Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	J	`jnl`	On the Parameterization of Stabilizing Controllers using Closed-loop Responses. CoRR Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
2019	J	`jnl`	Sparsity Invariance for Convex Design of Distributed Controllers. CoRR Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour
2019	J	`jnl`	Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures. IEEE Trans. Autom. Control. Luca Furieri, Maryam Kamgarpour
2018	J	`jnl`	Lowering the Upper Bounds on the Cost of Robust Distributed Controllers Beyond Quadratic Invariance. CoRR Luca Furieri, Maryam Kamgarpour
2018	—	`conf`	Robust Distributed Control Beyond Quadratic Invariance. CDC Luca Furieri, Maryam Kamgarpour
2017	C	`conf`	Gone with the wind: Nonlinear guidance for small fixed-wing aircraft in arbitrarily strong windfields. ACC Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart, Igor Gilitschenski
2017	—	`conf`	Robust control of constrained systems given an information structure. CDC Luca Furieri, Maryam Kamgarpour
2017	J	`jnl`	The Value of Communication in Synthesizing Controllers given an Information Structure. CoRR Luca Furieri, Maryam Kamgarpour
2016	J	`jnl`	Gone with the Wind: Nonlinear Guidance for Small Fixed-Wing Aircrafts in Arbitrarily Strong Windfields. CoRR Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart, Igor Gilitschenski
2016	—	`conf`	Internal model-based control for loitering maneuvers of UAVs. ECC Giacomo Casadei, Luca Furieri, Nicola Mimmo, Roberto Naldi, Lorenzo Marconi