Guido Carnevale

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Policy Iteration

Optimization Strategy

Augmented Lagrangian

Top Venues

Publications

Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano
Nonconvex distributed feedback optimization for aggregative cooperative robotics. Autom. 167 (2024)
Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano
A deep learning approach for distributed aggregative optimization with users' feedback. L4DC (2024)
Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano
Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient. CoRR (2024)
Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Andrea Testa, Giuseppe Notarstefano
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. CoRR (2023)
Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization. IEEE Trans. Control. Netw. Syst. 10 (3) (2023)
Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
Triggered Gradient Tracking for asynchronous distributed optimization. Autom. 147 (2023)
Guido Carnevale, Giuseppe Notarstefano
Nonconvex Distributed Optimization via Lasalle and Singular Perturbations. IEEE Control. Syst. Lett. 7 (2023)
Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Andrea Testa, Giuseppe Notarstefano
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. ICRA (2023)
Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano
Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics. CoRR (2023)
Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano
On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares. CDC (2023)
Andrea Testa, Guido Carnevale, Giuseppe Notarstefano
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions. CoRR (2023)
Alireza Olama, Guido Carnevale, Giuseppe Notarstefano, Eduardo Camponogara
A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization. CoDIT (2023)
Guido Carnevale, Nicola Bastianello, Ruggero Carli, Giuseppe Notarstefano
Distributed Consensus Optimization via ADMM-Tracking Gradient. CDC (2023)
Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano
Distributed Online Aggregative Optimization for Dynamic Multirobot Coordination. IEEE Trans. Autom. Control. 68 (6) (2023)
Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano
Tracking-based distributed equilibrium seeking for aggregative games. CoRR (2022)
Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
Triggered Gradient Tracking for Asynchronous Distributed Optimization. CoRR (2022)
Guido Carnevale, Giuseppe Notarstefano
A Learning-based Distributed Algorithm for Personalized Aggregative Optimization. CDC (2022)
Nicola Mimmo, Guido Carnevale, Andrea Testa, Giuseppe Notarstefano
Extremum Seeking Tracking for Derivative-free Distributed Optimization. CoRR (2021)
Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano
Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination. CoRR (2021)
Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. CoRR (2020)