187 citations · 621 across the 10 of their papers we have counts for
14 papers
Data-Driven Reachability Analysis from Noisy Data
Amr Alanwar, Anne Koch, Frank Allgöwer +1
We consider the problem of computing reachable sets directly from noisy data without a given system model. Several reachability algorithms are presented for different types of syst…
Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems
Chris Verhoek, Roland Tóth, Sofie Haesaert +1
Based on the Fundamental Lemma by Willems et al., the entire behaviour of a Linear Time-Invariant (LTI) system can be characterised by a single data sequence of the system as long…
Data-Driven Controller Design via Finite-Horizon Dissipativity
Nils Wieler, Julian Berberich, Anne Koch +1
Given one open-loop measured trajectory of a single-input single-output discrete-time linear time-invariant system, we present a framework for data-driven controller design for clo…
Offset-free setpoint tracking using neural network controllers
Patricia Pauli, Johannes Köhler, Julian Berberich +2
In this paper, we present a method to analyze local and global stability in offset-free setpoint tracking using neural network controllers and we provide ellipsoidal inner approxim…
Data-Driven Reachability Analysis Using Matrix Zonotopes
Amr Alanwar, Anne Koch, Frank Allgöwer +1
In this paper, we propose a data-driven reachability analysis approach for unknown system dynamics. Reachability analysis is an essential tool for guaranteeing safety properties. H…
Provably robust verification of dissipativity properties from data
Anne Koch, Julian Berberich, Frank Allgöwer
Dissipativity properties have proven to be very valuable for systems analysis and controller design. With the rising amount of available data, there has therefore been an increasin…
Robust and optimal predictive control of the COVID-19 outbreak
Johannes Köhler, Lukas Schwenkel, Anne Koch +3
We investigate adaptive strategies to robustly and optimally control the COVID-19 pandemic via social distancing measures based on the example of Germany. Our goal is to minimize t…
Training robust neural networks using Lipschitz bounds
Patricia Pauli, Anne Koch, Julian Berberich +2
Due to their susceptibility to adversarial perturbations, neural networks (NNs) are hardly used in safety-critical applications. One measure of robustness to such perturbations in…
Verifying dissipativity properties from noise-corrupted input-state data
Anne Koch, Julian Berberich, Frank Allgöwer
There exists a vast amount of literature how dissipativity properties can be exploited to design controllers for stability and performance guarantees for the closed loop. With the…
Determining optimal input-output properties: A data-driven approach
Anne Koch, Julian Berberich, Johannes Köhler +1
Due to their relevance in systems analysis and (robust) controller design, we consider the problem of determining control-theoretic system properties of an a priori unknown system…
Sampling Strategies for Data-Driven Inference of Input-Output System Properties
Anne Koch, Jan Maximilian Montenbruck, Frank Allgöwer
Due to their relevance in controller design, we consider the problem of determining the -gain, passivity properties and conic relations of an input-output system. Wh…
Robust data-driven state-feedback design
Julian Berberich, Anne Romer, Carsten W. Scherer +1
We consider the problem of designing robust state-feedback controllers for discrete-time linear time-invariant systems, based directly on measured data. The proposed design procedu…
Monitoring Link Faults in Nonlinear Diffusively-coupled Networks
Miel Sharf, Daniel Zelazo
Fault detection and isolation is an area of engineering dealing with designing on-line protocols for systems that allow one to identify the existence of faults, pinpoint their exac…
Model-Free Practical Cooperative Control for Diffusively Coupled Systems
Miel Sharf, Anne Koch, Daniel Zelazo +1
In this paper, we develop a data-based controller design framework for diffusively coupled systems with guaranteed convergence to an -neighborhood of the desired formation. The…