Anne Koch

According to our database, Anne Koch authored at least 19 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Data-Driven Reachability Analysis From Noisy Data.

Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson

IEEE Trans. Autom. Control., May, 2023

2022

Model-Free Practical Cooperative Control for Diffusively Coupled Systems.

Miel Sharf, Anne Koch, Daniel Zelazo, Frank Allgöwer

IEEE Trans. Autom. Control., 2022

Provably Robust Verification of Dissipativity Properties from Data.

Anne Koch, Julian Berberich, Frank Allgöwer

IEEE Trans. Autom. Control., 2022

Training Robust Neural Networks Using Lipschitz Bounds.

Patricia Pauli, Anne Koch, Julian Berberich, Paul Kohler, Frank Allgöwer

IEEE Control. Syst. Lett., 2022

2021

Sampling Strategies for Data-Driven Inference of Input-Output System Properties.

Anne Koch, Jan Maximilian Montenbruck, Frank Allgöwer

IEEE Trans. Autom. Control., 2021

Determining optimal input-output properties: A data-driven approach.

Anne Koch, Julian Berberich, Johannes Köhler, Frank Allgöwer

Autom., 2021

Robust and optimal predictive control of the COVID-19 outbreak.

Johannes Köhler, Lukas Schwenkel, Anne Koch, Julian Berberich, Patricia Pauli, Frank Allgöwer

Annu. Rev. Control., 2021

Data-Driven Controller Design via Finite-Horizon Dissipativity.

Nils Wieler, Julian Berberich, Anne Koch, Frank Allgöwer

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Offset-free setpoint tracking using neural network controllers.

Patricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch, Frank Allgöwer

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Data-Driven Reachability Analysis Using Matrix Zonotopes.

Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems.

Chris Verhoek, Roland Tóth, Sofie Haesaert, Anne Koch

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Training robust neural networks using Lipschitz bounds.

Patricia Pauli, Anne Koch, Julian Berberich, Frank Allgöwer

CoRR, 2020

Verifying dissipativity properties from noise-corrupted input-state data.

Anne Koch, Julian Berberich, Frank Allgöwer

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Robust data-driven state-feedback design.

Julian Berberich, Anne Koch, Carsten W. Scherer, Frank Allgöwer

Proceedings of the 2020 American Control Conference, 2020

2019

One-Shot Verification of Dissipativity Properties From Input-Output Data.

Anne Romer, Julian Berberich, Johannes Köhler, Frank Allgöwer

IEEE Control. Syst. Lett., 2019

Data-driven inference of passivity properties via Gaussian process optimization.

Anne Romer, Sebastian Trimpe, Frank Allgöwer

Proceedings of the 17th European Control Conference, 2019

2018

Some Ideas on Sampling Strategies for Data-Driven Inference of Passivity Properties for MIMO Systems.

Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Sampling strategies for data-driven inference of passivity properties.

Anne Romer, Jan Maximilian Montenbruck, Frank Allgöwer

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Stability of Controllers for Gaussian Process Forward Models.

Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Anne Romer, Henner Schmidt, Jan Peters

Proceedings of the 33nd International Conference on Machine Learning, 2016