| Continuous-time switched systems with switching frequency constraints: Path-complete stability criteria M Della Rossa, M Pasquini, D Angeli Automatica 137, 110099, 2022 | 12 | 2022 |
| On Convergence for Piecewise Affine Models of Gene Regulatory Networks via a Lyapunov Approach M Pasquini, D Angeli IEEE Transactions on Automatic Control 65 (8), 3333-3348, 2019 | 7 | 2019 |
| On piecewise quadratic Lyapunov functions for piecewise affine models of gene regulatory networks M Pasquini, D Angeli 2018 IEEE Conference on Decision and Control (CDC), 1071-1076, 2018 | 6 | 2018 |
| 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), 64, 2021 | 4 | 2021 |
| Path-complete Lyapunov functions for continuous-time switching systems M Della Rossa, M Pasquini, D Angeli 2020 59th IEEE Conference on Decision and Control (CDC), 3279-3284, 2020 | 4 | 2020 |
| 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, EW Jacobsen Journal of Process Control 137, 103196, 2024 | 2 | 2024 |
| E2-RTO: An Exploitation-Exploration Approach for Real Time Optimization M Pasquini, H Hjalmarsson IFAC-PapersOnLine 56 (2), 1423-1430, 2023 | 1 | 2023 |
| Robust optimization with optimal experiment design-with application to continuous biopharmaceutical production Y Wang, M Pasquini, V Chotteau, H Hjalmarsson, EW Jacobsen IFAC-PapersOnLine 55 (7), 234-241, 2022 | 1 | 2022 |
| Study of Piecewise Multi-affine models for Genetic Regulatory Networks via a Lyapunov approach: an LMI framework M Pasquini, D Angeli IFAC-PapersOnLine 53 (2), 16739-16744, 2020 | 1 | 2020 |
| Optimal Exploration Strategy for Regret Minimization in Unconstrained Scalar Optimization Problems Y Wang, M Pasquini, K Colin, H Hjalmarsson arXiv preprint arXiv:2403.15344, 2024 | | 2024 |
| Model-based Medium Optimization Methodologies in High-cell Density Perfusion Culture Y Wang, M Pasquini, K Colin, M Mäkinen, H Schwarz, V Chotteau, ... Cell Culture Engineering XVIII, Cancun, Mexico, April 23-28 2023, 2023 | | 2023 |
| Model-based medium optimization methodologies in high-cell density perfusion culture M Pasquini, Y Wang, K Colin, MEL Mäkinen, V Chotteau, H Schwarz, ... | | 2023 |
| 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, 2022 | | 2022 |
| On the analysis of hybrid models of genetic regulatory networks via a Lyapunov approach M Pasquini Imperial College London, 2020 | | 2020 |
David AngeliProfessor in Nonlinear Network Dynamics, Imperial College London, Associato, Universitā di FirenzeVerified email at imperial.ac.uk
