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 | 545 | 2020 |
Robust data-driven state-feedback design J Berberich, A Koch, CW Scherer, F Allgöwer 2020 American Control Conference (ACC), 1532-1538, 2020 | 190 | 2020 |
Training robust neural networks using Lipschitz bounds P Pauli, A Koch, J Berberich, P Kohler, F Allgower IEEE Control Systems Letters, 2021 | 176 | 2021 |
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 | 160 | 2021 |
A trajectory-based framework for data-driven system analysis and control J Berberich, F Allgöwer 2020 European Control Conference (ECC), 1365-1370, 2020 | 152 | 2020 |
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 | 105 | 2022 |
Combining prior knowledge and data for robust controller design J Berberich, CW Scherer, F Allgöwer IEEE Transactions on Automatic Control, 2022 | 104 | 2022 |
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 | 100 | 2019 |
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 | 60 | 2020 |
Provably robust verification of dissipativity properties from data A Koch, J Berberich, F Allgower IEEE Transactions on Automatic Control, 2021 | 58 | 2021 |
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 | 52 | 2018 |
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 | 46 | 2022 |
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 | 46 | 2021 |
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 | 42 | 2021 |
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 | 39 | 2021 |
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 | 38 | 2020 |
Determining optimal input–output properties: A data-driven approach A Koch, J Berberich, J Köhler, F Allgöwer Automatica 134, 109906, 2021 | 32 | 2021 |
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 | 31 | 2020 |
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 | 30 | 2022 |