Robust data-driven state-feedback design J Berberich, A Koch, CW Scherer, F Allgöwer 2020 American Control Conference (ACC), 1532-1538, 2020 | 202 | 2020 |
Training robust neural networks using Lipschitz bounds P Pauli, A Koch, J Berberich, P Kohler, F Allgower IEEE Control Systems Letters, 2021 | 179 | 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 | 167 | 2021 |
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 | 103 | 2019 |
Provably robust verification of dissipativity properties from data A Koch, J Berberich, F Allgower IEEE Transactions on Automatic Control, 2021 | 64 | 2021 |
Stability of controllers for Gaussian process forward models J Vinogradska, B Bischoff, D Nguyen-Tuong, A Romer, H Schmidt, ... International Conference on Machine Learning, 545-554, 2016 | 50 | 2016 |
Fundamental lemma for data-driven analysis of linear parameter-varying systems C Verhoek, R Tóth, S Haesaert, A Koch 2021 60th IEEE Conference on Decision and Control (CDC), 5040-5046, 2021 | 49 | 2021 |
Determining dissipation inequalities from input-output samples A Romer, JM Montenbruck, F Allgöwer IFAC-PapersOnLine 50 (1), 7789-7794, 2017 | 45 | 2017 |
Determining optimal input–output properties: A data-driven approach A Koch, J Berberich, J Köhler, F Allgöwer Automatica 134, 109906, 2021 | 36 | 2021 |
Data-driven reachability analysis from noisy data A Alanwar, A Koch, F Allgöwer, KH Johansson IEEE Transactions on Automatic Control, 2023 | 33 | 2023 |
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 | 33 | 2020 |
Sampling strategies for data-driven inference of passivity properties A Romer, JM Montenbruck, F Allgöwer 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 6389-6394, 2017 | 31 | 2017 |
Data-driven reachability analysis using matrix zonotopes A Alanwar, A Koch, F Allgöwer, KH Johansson Learning for Dynamics and Control, 163-175, 2021 | 29 | 2021 |
Offset-free setpoint tracking using neural network controllers P Pauli, J Köhler, J Berberich, A Koch, F Allgöwer Learning for Dynamics and Control, 992-1003, 2021 | 24 | 2021 |
The second harmonic generation in reflection mode: An analytical, numerical and experimental study A Romer, JY Kim, J Qu, LJ Jacobs Journal of Nondestructive Evaluation 35, 1-10, 2016 | 22 | 2016 |
Some ideas on sampling strategies for data-driven inference of passivity properties for MIMO systems A Romer, JM Montenbruck, F Allgöwer 2018 Annual American Control Conference (ACC), 6094-6100, 2018 | 21 | 2018 |
Sampling Strategies for Data-Driven Inference of Input-Output System Properties A Koch, JM Montenbruck, F Allgower IEEE Transactions on Automatic Control, 2020 | 18 | 2020 |
Smartphone apps for learning progress and course revision P Pauli, A Koch, F Allgöwer IFAC-PapersOnLine 53 (2), 17368-17373, 2020 | 16 | 2020 |
Model-free practical cooperative control for diffusively coupled systems M Sharf, A Koch, D Zelazo, F Allgower IEEE Transactions on Automatic Control, 2021 | 13 | 2021 |
Data-driven inference of passivity properties via Gaussian process optimization A Romer, S Trimpe, F Allgöwer 2019 18th European Control Conference (ECC), 29-35, 2019 | 10 | 2019 |