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ORCIDJohannes Pohlodek
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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)- [i4]Sebastian Hirt, Andreas Höhl, Joachim Schaeffer, Johannes Pohlodek, Richard D. Braatz, Rolf Findeisen:
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. CoRR abs/2404.06125 (2024) - 2023
- [c1]Johannes Pohlodek, Hendrik Alsmeier, Bruno Morabito, Christian Schlauch, Anton Savchenko, Rolf Findeisen:
Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. ACC 2023: 603-608 - [i3]Sebastián Espinel-Ríos, Bruno Morabito, Johannes Pohlodek, Katja Bettenbrock, Steffen Klamt, Rolf Findeisen:
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
- [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)
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