Guido Carnevale

According to our database, Guido Carnevale authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

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

Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano

CoRR, 2024

2023

GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization.

Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano

IEEE Trans. Control. Netw. Syst., September, 2023

Distributed Online Aggregative Optimization for Dynamic Multirobot Coordination.

Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano

IEEE Trans. Autom. Control., June, 2023

Distributed optimization and games over networks: a system theoretical perspective.

Guido Carnevale

PhD thesis, 2023

Nonconvex Distributed Optimization via Lasalle and Singular Perturbations.

Guido Carnevale, Giuseppe Notarstefano

IEEE Control. Syst. Lett., 2023

A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions.

Andrea Testa, Guido Carnevale, Giuseppe Notarstefano

CoRR, 2023

Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics.

Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano

CoRR, 2023

Triggered Gradient Tracking for asynchronous distributed optimization.

Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano

Autom., 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

A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization.

Alireza Olama, Guido Carnevale, Giuseppe Notarstefano, Eduardo Camponogara

Proceedings of the 9th International Conference on Control, 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

Distributed Consensus Optimization via ADMM-Tracking Gradient.

Guido Carnevale, Nicola Bastianello, Ruggero Carli, Giuseppe Notarstefano

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

2022

Tracking-based distributed equilibrium seeking for aggregative games.

Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano

CoRR, 2022

A Learning-based Distributed Algorithm for Personalized Aggregative Optimization.

Guido Carnevale, Giuseppe Notarstefano

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

2021

Extremum Seeking Tracking for Derivative-free Distributed Optimization.

Nicola Mimmo, Guido Carnevale, Andrea Testa, Giuseppe Notarstefano

CoRR, 2021

Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination.

Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano

CoRR, 2021

2020

Distributed Online Optimization via Gradient Tracking with Adaptive Momentum.

Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano

CoRR, 2020