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2024
Iterative learning robust optimization - with application to medium optimization of CHO cell cultivation in continuous monoclonal antibody production. Y. Wang, M. Pasquini, V. Chotteau, H. Hjalmarsson, E. Jacobsen, Journal of Process Control, Vol. 137, 103196 [Link]
Regret Minimization in Scalar, Static, Non-linear Optimization Problems, Y. Wang, M. Pasquini, K. Colin, H. Hjalmarsson, 63rd IEEE Conference on Decision and Control (Accepted, Preprint available), [Link]
2023
E2-RTO: An Exploitation-Exploration approach for Real Time Optimization. M. Pasquini, H. Hjalmarsson, IFAC-PapersOnLine 56 (2), 1423-1430 [Link]
2022
A Lyapunov based heuristic to speed up convergence of a feedback optimization framework with experiment batches - application to bioprocess manufacturing. M. Pasquini, K. Colin, V. Chotteau, H. Hjalmarsson , IFAC-PapersOnLine 55 (23), 135-140 [Link]
Continuous-time switched systems with switching frequency constraints: Path-complete stability criteria. M. Della Rossa, M. Pasquini, D. Angeli, Automatica 137, 110099 [Link]
Robust Optimization with Optimal Experiment Design - with Application to Continuous Biopharmaceutical Production. Y. Wang, M. Pasquini, V. Chotteau, H. Hjalmarsson, E. Jacobsen, IFAC-PapersOnLine 55 (7), 234-241 [Link]
2021
On convergence for hybrid models of gene regulatory networks under polytopic uncertainties: a Lyapunov approach. M. Pasquini, D. Angeli, Journal of Mathematical Biology 83 (6), 1-38 [Link]
2020
Study of Piecewise Multi-Affine models for Genetic Regulatory Networks via a Lyapunov approach: an LMI framework. M. Pasquini, D. Angeli , 21th IFAC World Congress [Link]
Path-complete Lyapunov functions for continuous-time switching systems. M. Della Rossa, M. Pasquini, D. Angeli, 59th IEEE Conference on Decision and Control (CDC) [Link]
2019
On Convergence for Piecewise Affine Models of Gene Regulatory Networks via a Lyapunov Approach. M. Pasquini, D. Angeli, IEEE Transactions on Automatic Control (TAC) [Link]
2018
On piecewise quadratic Lyapunov functions for piecewise affine models of gene regulatory networks. M. Pasquini, D. Angeli, 57th IEEE Conference on Decision and Control (CDC) [Link]
My PhD Thesis
On the analysis of hybrid models of genetic regulatory networks via a Lyapunov approach. M. Pasquini. [Link]
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