| Preference-based MPC calibration M Zhu, A Bemporad, D Piga 2021 European Control Conference (ECC), 638-645, 2021 | 25 | 2021 |
| C-GLISp: Preference-based global optimization under unknown constraints with applications to controller calibration M Zhu, D Piga, A Bemporad IEEE Transactions on Control Systems Technology 30 (5), 2176-2187, 2021 | 14 | 2021 |
| A general dynamic model of a complete milk pasteuriser unit subject to fouling M Zhu, FL Santamaria, S Macchietto Computer Aided Chemical Engineering 48, 247-252, 2020 | 5 | 2020 |
| Multi-agent active learning for distributed black-box optimization L Cannelli, M Zhu, F Farina, A Bemporad, D Piga IEEE Control Systems Letters, 2023 | 1 | 2023 |
| Specification-Guided Critical Scenario Identification for Automated Driving A Molin, EA Aguilar, D Ničković, M Zhu, A Bemporad, H Esen International Symposium on Formal Methods, 610-621, 2023 | 1 | 2023 |
| Discrete and mixed-variable experimental design with surrogate-based approach M Zhu, A Mroz, L Gui, K Jelfs, A Bemporad, EA del Río Chanona, YS Lee | | 2024 |
| Learning Critical Scenarios in Feedback Control Systems for Automated Driving M Zhu, A Bemporad, M Kneissl, H Esen 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates M Zhu, A Bemporad arXiv preprint arXiv:2302.04686, 2023 | | 2023 |
| C-GLIS: Global Optimization under Unknown Constraints M Zhu, D Piga, A Bemporad | | 2021 |
Alberto BemporadProfessor of Control Systems, IMT Lucca, ItalyVerified email at imtlucca.it
