Gianluca Bianchin
Gianluca Bianchin
Assistant Professor - University of Louvain
Email verificata su - Home page
Citata da
Citata da
Time-varying optimization of LTI systems via projected primal-dual gradient flows
G Bianchin, J Cortés, JI Poveda, E Dall’Anese
IEEE Transactions on Control of Network Systems 9 (1), 474-486, 2021
Secure trajectory planning against undetectable spoofing attacks
YC Liu, G Bianchin, F Pasqualetti
Automatica 112, 108655, 2020
The observability radius of networks
G Bianchin, P Frasca, A Gasparri, F Pasqualetti
IEEE transactions on Automatic Control 62 (6), 3006-3013, 2016
Gramian-based optimization for the analysis and control of traffic networks
G Bianchin, F Pasqualetti
IEEE Transactions on Intelligent Transportation Systems 21 (7), 3013-3024, 2019
Online optimization of switched LTI systems using continuous-time and hybrid accelerated gradient flows
G Bianchin, JI Poveda, E Dall’Anese
Automatica 146, 110579, 2022
Secure navigation of robots in adversarial environments
G Bianchin, YC Liu, F Pasqualetti
IEEE Control Systems Letters 4 (1), 1-6, 2019
Online projected gradient descent for stochastic optimization with decision-dependent distributions
K Wood, G Bianchin, E Dall’Anese
IEEE Control Systems Letters 6, 1646-1651, 2021
The role of diameter in the controllability of complex networks
G Bianchin, F Pasqualetti, S Zampieri
2015 54th IEEE Conference on Decision and Control (CDC), 980-985, 2015
Distributed fault detection in sensor networks via clustering and consensus
G Bianchin, A Cenedese, M Luvisotto, G Michieletto
2015 54th IEEE Conference on Decision and Control (CDC), 3828-3833, 2015
On the number of strongly structurally controllable networks
T Menara, G Bianchin, M Innocenti, F Pasqualetti
2017 American Control Conference (ACC), 340-345, 2017
Time-Delay Attacks in Network Systems
G Bianchin, F Pasqualetti
Cyber-Physical Systems Security, XII, 324, 2018
Data-driven synthesis of optimization-based controllers for regulation of unknown linear systems
G Bianchin, M Vaquero, J Cortés, E Dall’Anese
2021 60th IEEE Conference on Decision and Control (CDC), 5783-5788, 2021
Online stochastic optimization for unknown linear systems: Data-driven synthesis and controller analysis
G Bianchin, M Vaquero, J Cortes, E Dall'Anese
arXiv preprint arXiv:2108.13040, 2021
A network optimization framework for the analysis and control of traffic dynamics and intersection signaling
G Bianchin, F Pasqualetti
2018 IEEE Conference on Decision and Control (CDC), 1017-1022, 2018
The observability radius of network systems
G Bianchin, P Frasca, A Gasparri, F Pasqualetti
2016 American Control Conference (ACC), 185-190, 2016
Stability analysis of an eight parameter SIR-type model including loss of immunity, and disease and vaccination fatalities
F Avram, R Adenane, G Bianchin, A Halanay
Mathematics 10 (3), 402, 2022
Resilience of traffic networks with partially controlled routing
G Bianchin, F Pasqualetti, S Kundu
2019 American Control Conference (ACC), 2670-2675, 2019
On matrix-SIR Arino models with linear birth rate, loss of immunity, disease and vaccination fatalities, and their approximations
F Avram, R Adenane, L Basnarkov, G Bianchin, D Goreac, A Halanay
arXiv preprint arXiv:2112.03436, 2021
Novel use of online optimization in a mathematical model of COVID-19 to guide the relaxation of pandemic mitigation measures
G Bianchin, E Dall’Anese, JI Poveda, D Jacobson, EJ Carlton, ...
Scientific Reports 12 (1), 4731, 2022
Extremum seeking under persistent gradient deception: A switching systems approach
F Galarza-Jimenez, JI Poveda, G Bianchin, E Dall’Anese
IEEE Control Systems Letters 6, 133-138, 2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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