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Julian Berberich
Julian Berberich
Bestätigte E-Mail-Adresse bei ist.uni-stuttgart.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Data-driven model predictive control with stability and robustness guarantees
J Berberich, J Köhler, MA Müller, F Allgöwer
IEEE Transactions on Automatic Control 66 (4), 1702-1717, 2020
5452020
Robust data-driven state-feedback design
J Berberich, A Koch, CW Scherer, F Allgöwer
2020 American Control Conference (ACC), 1532-1538, 2020
1902020
Training robust neural networks using Lipschitz bounds
P Pauli, A Koch, J Berberich, P Kohler, F Allgower
IEEE Control Systems Letters, 2021
1762021
Robust and optimal predictive control of the COVID-19 outbreak
J Köhler, L Schwenkel, A Koch, J Berberich, P Pauli, F Allgöwer
Annual Reviews in Control 51, 525-539, 2021
1602021
A trajectory-based framework for data-driven system analysis and control
J Berberich, F Allgöwer
2020 European Control Conference (ECC), 1365-1370, 2020
1522020
Linear tracking MPC for nonlinear systems—Part II: The data-driven case
J Berberich, J Köhler, MA Müller, F Allgöwer
IEEE Transactions on Automatic Control 67 (9), 4406-4421, 2022
1052022
Combining prior knowledge and data for robust controller design
J Berberich, CW Scherer, F Allgöwer
IEEE Transactions on Automatic Control, 2022
1042022
One-Shot Verification of Dissipativity Properties From Input–Output Data
A Romer, J Berberich, J Köhler, F Allgöwer
IEEE Control Systems Letters 3 (3), 709-714, 2019
1002019
Robust constraint satisfaction in data-driven MPC
J Berberich, J Köhler, MA Müller, F Allgöwer
2020 59th IEEE Conference on Decision and Control (CDC), 1260-1267, 2020
602020
Provably robust verification of dissipativity properties from data
A Koch, J Berberich, F Allgower
IEEE Transactions on Automatic Control, 2021
582021
Mathematical Modeling of the Pituitary–Thyroid Feedback Loop: Role of a TSH-T3-Shunt and Sensitivity Analysis
J Berberich, JW Dietrich, R Hoermann, MA Müller
Frontiers in endocrinology 9, 91, 2018
522018
Robust stability analysis of a simple data-driven model predictive control approach
J Bongard, J Berberich, J Köhler, F Allgower
IEEE Transactions on Automatic Control, 2022
462022
On the design of terminal ingredients for data-driven MPC
J Berberich, J Köhler, MA Müller, F Allgöwer
IFAC-PapersOnLine 54 (6), 257-263, 2021
462021
Data-driven model predictive control: closed-loop guarantees and experimental results
J Berberich, J Köhler, MA Müller, F Allgöwer
at-Automatisierungstechnik 69 (7), 608-618, 2021
422021
Data-based system analysis and control of flat nonlinear systems
M Alsalti, J Berberich, VG Lopez, F Allgöwer, MA Müller
2021 60th IEEE Conference on Decision and Control (CDC), 1484-1489, 2021
392021
Data-driven control of nonlinear systems: Beyond polynomial dynamics
R Strässer, J Berberich, F Allgöwer
2021 60th IEEE Conference on Decision and Control (CDC), 4344-4351, 2021
39*2021
Data-driven tracking MPC for changing setpoints
J Berberich, J Köhler, MA Müller, F Allgöwer
IFAC-PapersOnLine 53 (2), 6923-6930, 2020
382020
Determining optimal input–output properties: A data-driven approach
A Koch, J Berberich, J Köhler, F Allgöwer
Automatica 134, 109906, 2021
322021
Verifying dissipativity properties from noise-corrupted input-state data
A Koch, J Berberich, F Allgöwer
2020 59th IEEE Conference on Decision and Control (CDC), 616-621, 2020
312020
Linear tracking MPC for nonlinear systems—Part I: The model-based case
J Berberich, J Köhler, MA Müller, F Allgöwer
IEEE Transactions on Automatic Control 67 (9), 4390-4405, 2022
302022
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