| 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 | 29 | 2016 |
| 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 | 14 | 2018 |
| 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 | 13 | 2016 |
| Adaptive output regulation for linear systems via discrete-time identifiers M Bin, L Marconi, AR Teel Automatica 105, 422-432, 2019 | 11 | 2019 |
| About a post-processing design of regression-like nonlinear internal models M Bin, L Marconi IFAC-PapersOnLine 50 (1), 15367-15372, 2017 | 11 | 2017 |
| Stable neural flows S Massaroli, M Poli, M Bin, J Park, A Yamashita, H Asama arXiv preprint arXiv:2003.08063, 2020 | 10 | 2020 |
| 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 | 8 | 2018 |
| Stability analysis of nonlinear repetitive control schemes F Califano, M Bin, A Macchelli, C Melchiorri IEEE control systems letters 2 (4), 773-778, 2018 | 8 | 2018 |
| 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 | 6 | 2020 |
| Approximate nonlinear regulation via identification-based adaptive internal models M Bin, P Bernard, L Marconi IEEE Transactions on Automatic Control, 2020 | 5 | 2020 |
| 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 | 5 | 2017 |
| 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 | 4 | 2017 |
| 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 | 3 | 2019 |
| “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 | 3 | 2019 |
| Adaptive Output Regulation via Nonlinear Luenberger Observers M Bin, P Bernard, L Marconi IFAC-PapersOnLine 52 (16), 580-585, 2019 | 3 | 2019 |
| 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 | 3 | 2018 |
| 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 | 2 | 2021 |
| 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 | 2 | 2020 |
| Necessary conditions for output regulation with exosystem modelled by differential inclusions Q Petit, M Bin, L Marconi IFAC-PapersOnLine 51 (13), 25-30, 2018 | 2 | 2018 |
Lorenzo MarconiProfessore, Università di BolognaVerified email at unibo.it
