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Mattia Bianchi
Mattia Bianchi
PhD researcher at TU Delft
Bestätigte E-Mail-Adresse bei tudelft.nl
Titel
Zitiert von
Zitiert von
Jahr
Continuous-time fully distributed generalized Nash equilibrium seeking for multi-integrator agents
M Bianchi, S Grammatico
Automatica 129, 109660, 2021
422021
Fast generalized Nash equilibrium seeking under partial-decision information
M Bianchi, G Belgioioso, S Grammatico
Automatica 136 (110080), 2020
322020
Fully Distributed Nash Equilibrium Seeking Over Time-Varying Communication Networks With Linear Convergence Rate
M Bianchi, S Grammatico
IEEE Control Systems Letters 5 (2), 499 - 504, 2020
302020
A continuous-time distributed generalized Nash equilibrium seeking algorithm over networks for double-integrator agents
M Bianchi, S Grammatico
2020 European Control Conference (ECC), 1474-1479, 2020
232020
A fully-distributed proximal-point algorithm for Nash equilibrium seeking with linear convergence rate
M Bianchi, G Belgioioso, S Grammatico
2020 59th IEEE Conference on Decision and Control (CDC), 2303-2308, 2020
11*2020
Nash equilibrium seeking under partial-decision information over directed communication networks
M Bianchi, S Grammatico
2020 59th IEEE Conference on Decision and Control (CDC), 3555-3560, 2020
102020
Data-driven stabilization of switched and constrained linear systems
M Bianchi, S Grammatico, J Cortés
arXiv preprint arXiv:2208.11392, 2022
12022
The distributed dual ascent algorithm is robust to asynchrony
M Bianchi, W Ananduta, S Grammatico
IEEE Control Systems Letters 6, 650-655, 2021
12021
Offset-free MPC for resource sharing on a nonlinear SCARA robot
M Bianchi, A van der Maas, E Maljaars, W Heemels
IFAC-PapersOnLine 51 (20), 265-272, 2018
12018
Nash equilibrium seeking under partial-decision information: Monotonicity, smoothness and proximal-point algorithms
M Bianchi, S Grammatico
2022 IEEE 61st Conference on Decision and Control (CDC), 5080-5085, 2022
2022
The END: Estimation Network Design for efficient distributed equilibrium seeking
M Bianchi, S Grammatico
arXiv preprint arXiv:2208.11377, 2022
2022
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