Mengjia Zhu

Mengjia Zhu

PDRA at UoM. My current research interests include black-box optimization and control, with particular emphasis on active, preference, and safe learning.

Publications

SUBMITTED

M. Zhu, A. Mroz, L. Gui, K. Jelfs, A. Bemporad, EA. del Río Chanona, and Y. Lee, “Discrete and mixed-variable experimental design with surrogate-based approach,” 2024, Submitted for publication. ChemRxiv, code

M. Zhu and A. Bemporad, “Global and preference-based optimization with mixed variables using piecewise affine surrogates,” 2023, Submitted for publication. arXiv, code

ACCEPTED

PAPERS

M. Zhu, A. Bemporad, M. Kneissl, and H. Esen, “Learning critical scenarios in feedback control systems for automated driving,” in IEEE 26th Int. Conf. on Intelligent Transportation Systems (ITSC), Bilbao, Bizkaia, Spain, Sept. 2023. paper-link, pdf

L. Cannelli, M. Zhu, F. Farina, A. Bemporad, and D. Piga, “Multi-agent active learning for distributed black-box optimization,” IEEE Control Systems Letters, vol. 7, pp. 1488–1493, 2023.. paper-link, pdf, code

A. Molin, E. Aguilar, D. Nickovic, M. Zhu, A. Bemporad, and H. Esen, “Specification-guided critical scenario identification for automated driving,” 25th International Symposium on Formal Methods, 2023. paper-link, pdf

M. Zhu, D. Piga, and A. Bemporad, “C-GLISp: Preference-based global optimization under unknown constraints with applications to controller calibration,” IEEE Trans. Contr. Systems Technology, vol. 30, no. 3, pp. 2176–2187, Sept. 2022. paper-link, pdf, code

M. Zhu, A. Bemporad, and D. Piga, “Preference-based MPC calibration,” in European Control Conference, 2021. paper-link, pdf

M. Zhu, FL. Santamaria, S. Macchietto, “A general dynamic model of a complete milk pasteuriser unit subject to fouling,” in Computer Aided Chemical Engineering, vol. 48, pp. 247-252, 2020. paper-link, pdf