Lorenzo Sforni

According to our database, Lorenzo Sforni authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Robot Target Monitoring and Encirclement via Triggered Distributed Feedback Optimization.

Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Giuseppe Notarstefano

CoRR, 2024

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient.

Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano

CoRR, 2024

Receding Horizon CBF-Based Multi-Layer Controllers for Safe Trajectory Generation.

Lorenzo Sforni, Giuseppe Notarstefano, Aaron D. Ames

Proceedings of the American Control Conference, 2024

2023

A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance.

Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Andrea Testa, Giuseppe Notarstefano

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares.

Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Structured-policy Q-learning: an LMI-based Design Strategy for Distributed Reinforcement Learning.

Lorenzo Sforni, Andrea Camisa, Giuseppe Notarstefano

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control.

Lorenzo Sforni, Sara Spedicato, Ivano Notarnicola, Giuseppe Notarstefano

CoRR, 2021

Learning-driven Nonlinear Optimal Control via Gaussian Process Regression.

Lorenzo Sforni, Ivano Notarnicola, Giuseppe Notarstefano

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021