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Bruno Morabito
Bruno Morabito
Senior Expert in Model Predictive Control at Yokogawa Insilico Biotechnology
Bestätigte E-Mail-Adresse bei yokogawa.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Multi-mode learning supported model predictive control with guarantees
J Bethge, B Morabito, J Matschek, R Findeisen
IFAC-PapersOnLine 51 (20), 517-522, 2018
202018
Simple and efficient moving horizon estimation based on the fast gradient method
B Morabito, M Kögel, E Bullinger, G Pannocchia, R Findeisen
IFAC-PapersOnLine 48 (23), 428-433, 2015
152015
Multi-mode model predictive control and estimation for uncertain biotechnological processes
B Morabito, A Kienle, R Findeisen, L Carius
IFAC-PapersOnLine 52 (1), 709-714, 2019
132019
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC
J Pohlodek, B Morabito, C Schlauch, P Zometa, R Findeisen
arXiv preprint arXiv:2203.13671, 2022
122022
Hierarchical model predictive control for autonomous vehicle area coverage
M Ibrahim, J Matschek, B Morabito, R Findeisen
IFAC-PapersOnLine 52 (12), 79-84, 2019
112019
Modelling human driving behavior for constrained model predictive control in mixed traffic at intersections
J Bethge, B Morabito, H Rewald, A Ahsan, S Sorgatz, R Findeisen
IFAC-PapersOnLine 53 (2), 14356-14362, 2020
92020
Improved area covering in dynamic environments by nonlinear model predictive path following control
M Ibrahim, J Matschek, B Morabito, R Findeisen
IFAC-PapersOnLine 52 (15), 418-423, 2019
92019
Towards risk-aware machine learning supported model predictive control and open-loop optimization for repetitive processes
B Morabito, J Pohlodek, J Matschek, A Savchenko, L Carius, R Findeisen
IFAC-PapersOnLine 54 (6), 321-328, 2021
72021
Soft sensor for monitoring dynamic changes in cell composition
S Espinel-Ríos, B Morabito, K Bettenbrock, S Klamt, R Findeisen
IFAC-PapersOnLine 55 (23), 98-103, 2022
62022
Optimal control and dynamic modulation of the ATPase gene expression for enforced ATP wasting in batch fermentations
S Espinel-Ríos, B Morabito, J Pohlodek, K Bettenbrock, S Klamt, ...
IFAC-PapersOnLine 55 (7), 174-180, 2022
62022
Efficient and simple Gaussian process supported stochastic model predictive control for bioreactors using HILO-MPC
B Morabito, J Pohlodek, L Kranert, S Espinel-Ríos, R Findeisen
IFAC-PapersOnLine 55 (7), 922-927, 2022
62022
Model-based state estimation based on hybrid cybernetic models
L Carius, J Pohlodek, B Morabito, A Franz, M Mangold, R Findeisen, ...
IFAC-PapersOnLine 51 (18), 197-202, 2018
62018
Toward a modeling, optimization, and predictive control framework for fed‐batch metabolic cybergenetics
S Espinel‐Ríos, B Morabito, J Pohlodek, K Bettenbrock, S Klamt, ...
Biotechnology and Bioengineering 121 (1), 366-379, 2024
52024
Machine learning for process control of (bio) chemical processes
A Himmel, J Matschek, R Kok, B Morabito, HH Nguyen, R Findeisen
arXiv preprint arXiv:2301.06073, 2023
52023
Model-based parameter estimation for directional drilling in wellbore operations
F Quattrone, C Hansen, O Hoehn, J Koeneke, B Morabito, R Findeisen
US Patent 11,268,370, 2022
52022
Real time feasibility and performance of moving horizon estimation for Li-ion batteries based on first principles electrochemical models
B Morabito, R Klein, R Findeisen
2017 American Control Conference (ACC), 3457-3462, 2017
52017
Cell-free biosynthesis meets dynamic optimization and control: a fed-batch framework
S Espinel-Ríos, N Huber, EA Alcalá-Orozco, B Morabito, TFT Rexer, ...
IFAC-PapersOnLine 55 (23), 92-97, 2022
32022
Repetitive set-based learning robust predictive control for Lur’e systems
HH Nguyen, B Morabito, R Findeisen
IFAC-PapersOnLine 53 (2), 7117-7122, 2020
32020
Multi-stage Event-triggered Model Predictive Control for Automated Trajectory Drilling
B Morabito, M Kögel, S Blasi, V Klemme, C Hansen, O Höhn, R Findeisen
IFAC-PapersOnLine 53 (2), 9478-9483, 2020
32020
Admissible control parametrization of uncertain finite-time processes with application to li-ion battery management
P Andonov, B Morabito, A Savchenko, R Findeisen
2018 European Control Conference (ECC), 2338-2343, 2018
22018
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