Anne Koch (Romer)
Anne Koch (Romer)
Verified email at ist.uni-stuttgart.de
Title
Cited by
Cited by
Year
Robust data-driven state-feedback design
J Berberich, A Koch, CW Scherer, F Allgöwer
2020 American Control Conference (ACC), 1532-1538, 2020
642020
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, 2020
552020
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
452019
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
382016
Determining dissipation inequalities from input-output samples
A Romer, JM Montenbruck, F Allgöwer
IFAC-PapersOnLine 50 (1), 7789-7794, 2017
292017
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
222017
Provably robust verification of dissipativity properties from data
A Koch, J Berberich, F Allgower
IEEE Transactions on Automatic Control, 2021
212021
Training robust neural networks using Lipschitz bounds
P Pauli, A Koch, J Berberich, P Kohler, F Allgower
IEEE Control Systems Letters, 2021
202021
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
162020
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), 6, 2016
142016
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
112018
Determining optimal input–output properties: A data-driven approach
A Koch, J Berberich, J Köhler, F Allgöwer
Automatica 134, 109906, 2021
82021
Model-free practical cooperative control for diffusively coupled systems
M Sharf, A Koch, D Zelazo, F Allgower
IEEE Transactions on Automatic Control, 2021
62021
Sampling Strategies for Data-Driven Inference of Input-Output System Properties
A Koch, JM Montenbruck, F Allgower
IEEE Transactions on Automatic Control, 2020
62020
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
62019
Data-driven reachability analysis using matrix zonotopes
A Alanwar, A Koch, F Allgöwer, KH Johansson
Learning for Dynamics and Control, 163-175, 2021
42021
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
32021
Data-driven inference of conic relations via saddle-point dynamics
A Romer, JM Montenbruck, F Allgöwer
IFAC-PapersOnLine 51 (25), 396-401, 2018
32018
Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems
C Verhoek, R Tóth, S Haesaert, A Koch
arXiv preprint arXiv:2103.16171, 2021
22021
Smartphone apps for learning progress and course revision
P Pauli, A Koch, F Allgöwer
IFAC-PapersOnLine 53 (2), 17368-17373, 2020
22020
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