Data-Driven Model Predictive Control with Stability and Robustness Guarantees J Berberich, J Köhler, MA Müller, F Allgöwer IEEE Transactions on Automatic Control, 2020 | 555 | 2020 |
Learning an approximate model predictive controller with guarantees M Hertneck, J Köhler, S Trimpe, F Allgöwer IEEE Control Systems Letters 2 (3), 543-548, 2018 | 243 | 2018 |
Safe and fast tracking on a robot manipulator: Robust MPC and neural network control J Nubert, J Köhler, V Berenz, F Allgöwer, S Trimpe IEEE Robotics and Automation Letters 5 (2), 3050-3057, 2020 | 168 | 2020 |
A computationally efficient robust model predictive control framework for uncertain nonlinear systems J Köhler, R Soloperto, MA Müller, F Allgower IEEE Transactions on Automatic Control 66 (2), 794-801, 2021 | 165 | 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 | 162 | 2021 |
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, 2022 | 108 | 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 |
Nonlinear reference tracking: An economic model predictive control perspective J Köhler, MA Müller, F Allgöwer IEEE Transactions on Automatic Control 64 (1), 254-269, 2018 | 95 | 2018 |
A nonlinear model predictive control framework using reference generic terminal ingredients J Köhler, MA Müller, F Allgöwer IEEE Transactions on Automatic Control 65 (3), 3576--3583, 2019 | 92 | 2019 |
A novel constraint tightening approach for nonlinear robust model predictive control J Köhler, MA Müller, F Allgöwer Annual American Control Conference (ACC), 728-734, 2018 | 72 | 2018 |
A robust adaptive model predictive control framework for nonlinear uncertain systems J Köhler, P Kötting, R Soloperto, F Allgöwer, MA Müller International Journal of Robust and Nonlinear Control 31 (18), 8725-8749, 2021 | 66 | 2021 |
Collision avoidance for uncertain nonlinear systems with moving obstacles using robust Model Predictive Control R Soloperto, J Köhler, F Allgöwer, MA Müller 18th European Control Conference (ECC), 811-817, 2019 | 62 | 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 | 59 | 2020 |
Linear robust adaptive model predictive control: Computational complexity and conservatism J Köhler, E Andina, R Soloperto, MA Müller, F Allgöwer 2019 IEEE 58th Conference on Decision and Control (CDC), 1383-1388, 2019 | 59* | 2019 |
A nonlinear tracking model predictive control scheme for dynamic target signals J Köhler, MA Müller, F Allgöwer Automatica 118, 109030, 2020 | 50 | 2020 |
Robust stability analysis of a simple data-driven model predictive control approach J Bongard, J Berberich, J Köhler, F Allgöwer IEEE Transactions on Automatic Control 68 (5), 2625-2637, 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 | 45 | 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 | 43 | 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 | 33 | 2021 |