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Lorenzo Sforni
Lorenzo Sforni
Postdoctoral Researcher - University of Bologna
Email verificata su unibo.it - Home page
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Citata da
Citata da
Anno
Learning-driven nonlinear optimal control via gaussian process regression
L Sforni, I Notarnicola, G Notarstefano
2021 60th IEEE Conference on Decision and Control (CDC), 4412-4417, 2021
82021
A distributed online optimization strategy for cooperative robotic surveillance
L Pichierri, G Carnevale, L Sforni, A Testa, G Notarstefano
2023 IEEE International Conference on Robotics and Automation (ICRA), 5537-5543, 2023
72023
On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares
L Sforni, G Carnevale, I Notarnicola, G Notarstefano
2023 62nd IEEE Conference on Decision and Control (CDC), 5047-5052, 2023
32023
Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient
L Sforni, G Carnevale, I Notarnicola, G Notarstefano
arXiv preprint arXiv:2403.05367, 2024
22024
Structured-policy Q-learning: an LMI-based design strategy for distributed reinforcement learning
L Sforni, A Camisa, G Notarstefano
2022 IEEE 61st Conference on Decision and Control (CDC), 4059-4064, 2022
22022
Gopronto: A feedback-based framework for nonlinear optimal control
L Sforni, S Spedicato, I Notarnicola, G Notarstefano
arXiv preprint arXiv:2108.13308, 2021
22021
Receding Horizon CBF-Based Multi-Layer Controllers for Safe Trajectory Generation
L Sforni, G Notarstefano, AD Ames
2024 American Control Conference (ACC), 4765-4770, 2024
12024
Multi-Robot Target Monitoring and Encirclement via Triggered Distributed Feedback Optimization
L Pichierri, G Carnevale, L Sforni, G Notarstefano
arXiv preprint arXiv:2409.20399, 2024
2024
Learning-driven and distributed optimal control methods for large-scale and multi-agent systems
L Sforni
alma, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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