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Bruno Morabito
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2020 – today
- 2024
- [i5]Sebastián Espinel-Ríos
, Gerrich Behrendt, Jasmin Bauer, Bruno Morabito, Johannes Pohlodek, Andrea Schütze, Rolf Findeisen, Katja Bettenbrock, Steffen Klamt:
Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models. CoRR abs/2401.08556 (2024) - 2023
- [c4]Johannes Pohlodek, Hendrik Alsmeier
Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. ACC 2023: 603-608 - [i4]Andreas Himmel, Janine Matschek, Rudolph Kok, Bruno Morabito, Hoang Hai Nguyen, Rolf Findeisen:
Machine Learning for Process Control of (Bio)Chemical Processes. CoRR abs/2301.06073 (2023) - [i3]Sebastián Espinel-Ríos
Towards a modeling, optimization and predictive control framework for fed-batch metabolic cybergenetics. CoRR abs/2302.02177 (2023) - [i2]Johannes Pohlodek, Hendrik Alsmeier, Bruno Morabito, Christian Schlauch, Anton Savchenko, Rolf Findeisen:
Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. CoRR abs/2303.14519 (2023) - 2022
- [c3]Bruno Morabito, Hoang Hai Nguyen, Janine Matschek, Rolf Findeisen:
Safe Exploration Learning Supported Model Predictive Control of Repetitive Processes. ACC 2022: 2631-2636 - [i1]Johannes Pohlodek, Bruno Morabito, Christian Schlauch, Pablo Zometa, Rolf Findeisen:
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC. CoRR abs/2203.13671 (2022)
2010 – 2019
- 2018
- [c2]Petar Andonov, Bruno Morabito
Admissible Control Parametrization of Uncertain Finite-time Processes With Application to Li-ion Battery Management. ECC 2018: 2338-2343 - 2017
- [c1]Bruno Morabito
Real time feasibility and performance of moving horizon estimation for Li-ion batteries based on first principles electrochemical models. ACC 2017: 3457-3462
Coauthor Index
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last updated on 2024-09-26 01:01 CEST by the dblp team
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