Michelangelo Bin
Michelangelo Bin
Department of Electrical and Electronic Engineering, Imperial College London
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
On fast multi-shot covid-19 interventions for post lock-down mitigation
M Bin, P Cheung, E Crisostomi, P Ferraro, H Lhachemi, R Murray-Smith, ...
arXiv preprint arXiv:2003.09930, 2020
34*2020
Boundary estimation of boundary parameters for linear hyperbolic PDEs
M Bin, F Di Meglio
IEEE Transactions on Automatic Control 62 (8), 3890-3904, 2016
292016
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
142018
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
132016
Adaptive output regulation for linear systems via discrete-time identifiers
M Bin, L Marconi, AR Teel
Automatica 105, 422-432, 2019
112019
About a post-processing design of regression-like nonlinear internal models
M Bin, L Marconi
IFAC-PapersOnLine 50 (1), 15367-15372, 2017
112017
Stable neural flows
S Massaroli, M Poli, M Bin, J Park, A Yamashita, H Asama
arXiv preprint arXiv:2003.08063, 2020
102020
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
82018
Stability analysis of nonlinear repetitive control schemes
F Califano, M Bin, A Macchelli, C Melchiorri
IEEE control systems letters 2 (4), 773-778, 2018
82018
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
62020
Approximate nonlinear regulation via identification-based adaptive internal models
M Bin, P Bernard, L Marconi
IEEE Transactions on Automatic Control, 2020
52020
Adaptive output regulation via post-processing internal models and hybrid identifiers
M Bin, L Marconi
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1478-1483, 2017
52017
Robust design of internal models by discrete recursive least squares identifiers
M Bin, L Marconi, AR Teel
2017 American Control Conference (ACC), 2411-2416, 2017
42017
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
32019
“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
32019
Adaptive Output Regulation via Nonlinear Luenberger Observers
M Bin, P Bernard, L Marconi
IFAC-PapersOnLine 52 (16), 580-585, 2019
32019
Results on adaptive output regulation for linear systems by least-squares identifiers
M Bin, L Marconi, AR Teel
2018 IEEE Conference on Decision and Control (CDC), 1391-1396, 2018
32018
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
22021
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
22020
Necessary conditions for output regulation with exosystem modelled by differential inclusions
Q Petit, M Bin, L Marconi
IFAC-PapersOnLine 51 (13), 25-30, 2018
22018
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Articles 1–20