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Johannes Köhler
Johannes Köhler
Other namesJohannes Koehler, Johannes Kohler
PostDoc at ETH Zurich
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
Data-Driven Model Predictive Control with Stability and Robustness Guarantees
J Berberich, J Köhler, MA Müller, F Allgöwer
IEEE Transactions on Automatic Control, 2020
3962020
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
2022018
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
1322021
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
1252021
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
1242020
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
912019
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
812018
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
662019
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
642018
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
572022
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
53*2019
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
502019
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
472021
A nonlinear tracking model predictive control scheme for dynamic target signals
J Köhler, MA Müller, F Allgöwer
Automatica 118, 109030, 2020
422020
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
402020
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
322021
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
292022
Data-driven tracking MPC for changing setpoints
J Berberich, J Köhler, MA Müller, F Allgöwer
IFAC-PapersOnLine 53 (2), 6923-6930, 2020
292020
Distributed model predictive control—Recursive feasibility under inexact dual optimization
J Köhler, MA Müller, F Allgöwer
Automatica 102, 1-9, 2019
272019
Determining optimal input–output properties: A data-driven approach
A Koch, J Berberich, J Köhler, F Allgöwer
Automatica 134, 109906, 2021
262021
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Articles 1–20