9 papers
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…
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…