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Anne Koch 0001
Person information
- affiliation: University of Stuttgart, Institute for Systems Theory and Automatic Control, Germany
Other persons with the same name
- Anne Koch 0002 — San Francisco State University, Department of Management, CA, USA
- Anne Koch 0003 — Duquesne University, Pittsburgh, PA, USA
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2020 – today
- 2023
- [j8]Amr Alanwar
, Anne Koch
, Frank Allgöwer
, Karl Henrik Johansson
:
Data-Driven Reachability Analysis From Noisy Data. IEEE Trans. Autom. Control. 68(5): 3054-3069 (2023) - 2022
- [j7]Patricia Pauli
, Anne Koch
, Julian Berberich
, Paul Kohler
, Frank Allgöwer
:
Training Robust Neural Networks Using Lipschitz Bounds. IEEE Control. Syst. Lett. 6: 121-126 (2022) - [j6]Miel Sharf
, Anne Koch
, Daniel Zelazo
, Frank Allgöwer
:
Model-Free Practical Cooperative Control for Diffusively Coupled Systems. IEEE Trans. Autom. Control. 67(2): 754-766 (2022) - [j5]Anne Koch
, Julian Berberich
, Frank Allgöwer
:
Provably Robust Verification of Dissipativity Properties from Data. IEEE Trans. Autom. Control. 67(8): 4248-4255 (2022) - 2021
- [j4]Johannes Köhler
, Lukas Schwenkel
, Anne Koch, Julian Berberich
, Patricia Pauli, Frank Allgöwer
:
Robust and optimal predictive control of the COVID-19 outbreak. Annu. Rev. Control. 51: 525-539 (2021) - [j3]Anne Koch, Julian Berberich
, Johannes Köhler
, Frank Allgöwer
:
Determining optimal input-output properties: A data-driven approach. Autom. 134: 109906 (2021) - [j2]Anne Koch
, Jan Maximilian Montenbruck
, Frank Allgöwer
:
Sampling Strategies for Data-Driven Inference of Input-Output System Properties. IEEE Trans. Autom. Control. 66(3): 1144-1159 (2021) - [c11]Patricia Pauli, Anne Koch, Julian Berberich, Paul Kohler, Frank Allgöwer
:
Training Robust Neural Networks Using Lipschitz Bounds. ACC 2021: 2595-2600 - [c10]Chris Verhoek
, Roland Tóth, Sofie Haesaert, Anne Koch:
Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems. CDC 2021: 5040-5046 - [c9]Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson:
Data-Driven Reachability Analysis Using Matrix Zonotopes. L4DC 2021: 163-175 - [c8]Nils Wieler, Julian Berberich, Anne Koch, Frank Allgöwer:
Data-Driven Controller Design via Finite-Horizon Dissipativity. L4DC 2021: 287-298 - [c7]Patricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch, Frank Allgöwer:
Offset-free setpoint tracking using neural network controllers. L4DC 2021: 992-1003 - [i13]Nils Wieler, Julian Berberich, Anne Koch, Frank Allgöwer:
Data-Driven Controller Design via Finite-Horizon Dissipativity. CoRR abs/2101.06156 (2021) - [i12]Chris Verhoek
, Roland Tóth, Sofie Haesaert, Anne Koch:
Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems. CoRR abs/2103.16171 (2021) - [i11]Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson:
Data-Driven Reachability Analysis from Noisy Data. CoRR abs/2105.07229 (2021) - 2020
- [c6]Julian Berberich
, Anne Koch, Carsten W. Scherer, Frank Allgöwer
:
Robust data-driven state-feedback design. ACC 2020: 1532-1538 - [c5]Anne Koch, Julian Berberich
, Frank Allgöwer
:
Verifying dissipativity properties from noise-corrupted input-state data. CDC 2020: 616-621 - [i10]Anne Koch, Julian Berberich, Johannes Köhler, Frank Allgöwer:
Determining optimal input-output properties: A data-driven approach. CoRR abs/2002.03882 (2020) - [i9]Anne Koch, Julian Berberich, Frank Allgöwer:
Verifying dissipativity properties from noise-corrupted input-state data. CoRR abs/2004.07270 (2020) - [i8]Patricia Pauli, Anne Koch, Julian Berberich, Frank Allgöwer:
Training robust neural networks using Lipschitz bounds. CoRR abs/2005.02929 (2020) - [i7]Johannes Köhler, Lukas Schwenkel, Anne Koch, Julian Berberich, Patricia Pauli, Frank Allgöwer:
Robust and optimal predictive control of the COVID-19 outbreak. CoRR abs/2005.03580 (2020) - [i6]Anne Koch, Julian Berberich, Frank Allgöwer:
Provably robust verification of dissipativity properties from data. CoRR abs/2006.05974 (2020) - [i5]Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson:
Data-Driven Reachability Analysis Using Matrix Zonotopes. CoRR abs/2011.08472 (2020) - [i4]Patricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch, Frank Allgöwer:
Offset-free setpoint tracking using neural network controllers. CoRR abs/2011.14006 (2020)
2010 – 2019
- 2019
- [j1]Anne Romer
, Julian Berberich
, Johannes Köhler
, Frank Allgöwer
:
One-Shot Verification of Dissipativity Properties From Input-Output Data. IEEE Control. Syst. Lett. 3(3): 709-714 (2019) - [c4]Anne Romer, Sebastian Trimpe
, Frank Allgöwer
:
Data-driven inference of passivity properties via Gaussian process optimization. ECC 2019: 29-35 - [i3]Miel Sharf, Anne Romer, Daniel Zelazo, Frank Allgöwer:
Model-Free Practical Cooperative Control for Diffusively Coupled Systems. CoRR abs/1906.05204 (2019) - [i2]Julian Berberich, Anne Romer, Carsten W. Scherer, Frank Allgöwer:
Robust data-driven state-feedback design. CoRR abs/1909.04314 (2019) - [i1]Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer:
Sampling Strategies for Data-Driven Inference of Input-Output System Properties. CoRR abs/1910.08919 (2019) - 2018
- [c3]Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer
:
Some Ideas on Sampling Strategies for Data-Driven Inference of Passivity Properties for MIMO Systems. ACC 2018: 6094-6100 - 2017
- [c2]Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer
:
Sampling strategies for data-driven inference of passivity properties. CDC 2017: 6389-6394 - 2016
- [c1]Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Anne Romer, Henner Schmidt, Jan Peters:
Stability of Controllers for Gaussian Process Forward Models. ICML 2016: 545-554
Coauthor Index
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