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Guido Carnevale
Guido Carnevale
Junior Assistant Professor, University of Bologna
Bestätigte E-Mail-Adresse bei unibo.it - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Distributed online aggregative optimization for dynamic multirobot coordination
G Carnevale, A Camisa, G Notarstefano
IEEE Transactions on Automatic Control 68 (6), 3736-3743, 2022
542022
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization
G Carnevale, F Farina, I Notarnicola, G Notarstefano
IEEE Transactions on Control of Network Systems, 2022, 2022
30*2022
Triggered gradient tracking for asynchronous distributed optimization
G Carnevale, I Notarnicola, L Marconi, G Notarstefano
Automatica 147, 110726, 2023
202023
Aggregative feedback optimization for distributed cooperative robotics
G Carnevale, N Mimmo, G Notarstefano
IFAC-PapersOnLine 55 (13), 7-12, 2022
202022
Tracking-based distributed equilibrium seeking for aggregative games
G Carnevale, F Fabiani, F Fele, K Margellos, G Notarstefano
IEEE Transactions on Automatic Control, 2024
172024
Nonconvex distributed optimization via lasalle and singular perturbations
G Carnevale, G Notarstefano
IEEE Control Systems Letters 7, 301-306, 2022
142022
Nonconvex distributed feedback optimization for aggregative cooperative robotics
G Carnevale, N Mimmo, G Notarstefano
Automatica 167, 111767, 2024
122024
A learning-based distributed algorithm for personalized aggregative optimization
G Carnevale, G Notarstefano
2022 IEEE 61st Conference on Decision and Control (CDC), 1576-1581, 2022
82022
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions
A Testa, G Carnevale, G Notarstefano
arXiv preprint arXiv:2309.04257, 2023
72023
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
Enhanced gradient tracking algorithms for distributed quadratic optimization via sparse gain design
G Carnevale, M Bin, I Notarnicola, L Marconi, G Notarstefano
IFAC-PapersOnLine 53 (2), 2696-2701, 2020
62020
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
42023
Distributed consensus optimization via ADMM-tracking gradient
G Carnevale, N Bastianello, R Carli, G Notarstefano
2023 62nd IEEE Conference on Decision and Control (CDC), 290-295, 2023
42023
ADMM-tracking gradient for distributed optimization over asynchronous and unreliable networks
G Carnevale, N Bastianello, G Notarstefano, R Carli
arXiv preprint arXiv:2309.14142, 2023
42023
Extremum seeking tracking for derivative-free distributed optimization
N Mimmo, G Carnevale, A Testa, G Notarstefano
arXiv preprint arXiv:2110.04234, 2021
32021
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
A unifying system theory framework for distributed optimization and games
G Carnevale, N Mimmo, G Notarstefano
arXiv preprint arXiv:2401.12623, 2024
22024
A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization
A Olama, G Carnevale, G Notarstefano, E Camponogara
2023 9th International Conference on Control, Decision and Information …, 2023
22023
Distributed Feedback Optimization for Multi-Robot Target Encirclement and Patrolling
L Pichierri, G Carnevale, G Notarstefano
2024 IEEE 20th International Conference on Automation Science and …, 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
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