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Michelangelo Bin
Michelangelo Bin
Department of Electrical, Electronic and Information Engineering, University of Bologna
Verified email at unibo.it
Title
Cited by
Cited by
Year
Post-lockdown abatement of COVID-19 by fast periodic switching
M Bin, PYK Cheung, E Crisostomi, P Ferraro, H Lhachemi, ...
PLoS computational biology 17 (1), e1008604, 2021
106*2021
Boundary estimation of boundary parameters for linear hyperbolic PDEs
M Bin, F Di Meglio
IEEE Transactions on Automatic Control 62 (8), 3890-3904, 2016
442016
Stable neural flows
S Massaroli, M Poli, M Bin, J Park, A Yamashita, H Asama
arXiv preprint arXiv:2003.08063, 2020
342020
Output regulation by postprocessing internal models for a class of multivariable nonlinear systems
M Bin, L Marconi
International Journal of Robust and Nonlinear Control 30 (3), 1115-1140, 2020
292020
Adaptive output regulation for linear systems via discrete-time identifiers
M Bin, L Marconi, AR Teel
Automatica 105, 422-432, 2019
282019
Stability analysis of nonlinear repetitive control schemes
F Califano, M Bin, A Macchelli, C Melchiorri
IEEE control systems letters 2 (4), 773-778, 2018
262018
About robustness of internal model-based control for linear and nonlinear systems
M Bin, D Astolfi, L Marconi, L Praly
2018 IEEE Conference on Decision and Control (CDC), 5397-5402, 2018
242018
Model identification and adaptive state observation for a class of nonlinear systems
M Bin, L Marconi
IEEE Transactions on Automatic Control 66 (12), 5621-5636, 2020
232020
Internal models in control, bioengineering, and neuroscience
M Bin, J Huang, A Isidori, L Marconi, M Mischiati, E Sontag
Annual Review of Control, Robotics, and Autonomous Systems 5, 55-79, 2022
212022
Approximate nonlinear regulation via identification-based adaptive internal models
M Bin, P Bernard, L Marconi
IEEE Transactions on Automatic Control 66 (8), 3534-3549, 2020
212020
About robustness of control systems embedding an internal model
M Bin, D Astolfi, L Marconi
IEEE Transactions on Automatic Control 68 (3), 1306-1320, 2022
192022
Adaptive output regulation via nonlinear Luenberger observer-based internal models and continuous-time identifiers
P Bernard, M Bin, L Marconi
Automatica 122, 109261, 2020
172020
Kemeny-based testing for COVID-19
S Yilmaz, E Dudkina, M Bin, E Crisostomi, P Ferraro, R Murray-Smith, ...
Plos one 15 (11), e0242401, 2020
172020
A system theoretical perspective to gradient-tracking algorithms for distributed quadratic optimization
M Bin, I Notarnicola, L Marconi, G Notarstefano
2019 IEEE 58th Conference on Decision and Control (CDC), 2994-2999, 2019
172019
Robust internal model design by nonlinear regression via low-power high-gain observers
M Bin, D Astolfi, L Marconi
2016 IEEE 55th Conference on Decision and Control (CDC), 4740-4745, 2016
162016
The chicken-egg dilemma and the robustness issue in nonlinear output regulation with a look towards adaptation and universal approximators
M Bin, L Marconi
2018 IEEE Conference on Decision and Control (CDC), 5391-5396, 2018
152018
About a post-processing design of regression-like nonlinear internal models
M Bin, L Marconi
IFAC-PapersOnLine 50 (1), 15367-15372, 2017
132017
“Class-Type” Identification-Based Internal Models in Multivariable Nonlinear Output Regulation
M Bin, L Marconi
IEEE Transactions on Automatic Control 65 (10), 4369-4376, 2019
102019
Adaptive output regulation via nonlinear Luenberger observers
M Bin, P Bernard, L Marconi
IFAC-PapersOnLine 52 (16), 580-585, 2019
62019
Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization
M Bin, I Notarnicola, T Parisini
2022 IEEE 61st Conference on Decision and Control (CDC), 1610-1615, 2022
52022
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