| Data-Driven Model Predictive Control with Stability and Robustness Guarantees J Berberich, J Köhler, MA Müller, F Allgöwer IEEE Transactions on Automatic Control, 2020 | 687 | 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 | 279 | 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 | 214 | 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 | 202 | 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 | 182 | 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 | 145 | 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 | 114 | 2019 |
| 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 | 106 | 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 | 104 | 2018 |
| 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 | 82 | 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 | 77 | 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 | 72 | 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 | 68 | 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 | 66* | 2019 |
| A nonlinear tracking model predictive control scheme for dynamic target signals J Köhler, MA Müller, F Allgöwer Automatica 118, 109030, 2020 | 61 | 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 | 58 | 2022 |
| 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 | 55 | 2021 |
| 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 | 52 | 2021 |
| 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, 2022 | 48 | 2022 |
| Data-driven tracking MPC for changing setpoints J Berberich, J Köhler, MA Müller, F Allgöwer IFAC-PapersOnLine 53 (2), 6923-6930, 2020 | 48 | 2020 |
Frank AllgöwerUniversity of Stuttgart, Universität Stuttgartist.uni-stuttgart.de의 이메일 확인됨
