most citedFlexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC

10 citations · 10 across the 2 of their papers we have counts for

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eess.SY2023

Stochastic Model Predictive Control Utilizing Bayesian Neural Networks

J. Pohlodek, H. Alsmeier, B. Morabito +3

Integrating measurements and historical data can enhance control systems through learning-based techniques, but ensuring performance and safety is challenging. Robust model predict…

eess.SY2022★ 10 cited

Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC

Johannes Pohlodek, Bruno Morabito, Christian Schlauch +2

Model-based optimization approaches for monitoring and control, such as model predictive control and optimal state and parameter estimation, have been used for decades in many engi…