75 citations · 481 across the 66 of their papers we have counts for
16 papers · 1 filter
Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics
Robin Strässer, Julian Berberich, Frank Allgöwer
In this paper, we present a data-driven controller design method for continuous-time nonlinear systems, using no model knowledge but only measured data affected by noise. While mos…
Data-driven analysis and control of continuous-time systems under aperiodic sampling
Julian Berberich, Stefan Wildhagen, Michael Hertneck +1
We investigate stability analysis and controller design of unknown continuous-time systems under state-feedback with aperiodic sampling, using only noisy data but no model knowledg…
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…
Combining Prior Knowledge and Data for Robust Controller Design
Julian Berberich, Carsten W. Scherer, Frank Allgöwer
We present a framework for systematically combining data of an unknown linear time-invariant system with prior knowledge on the system matrices or on the uncertainty for robust con…
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…
A Simple Approach to Increase the Maximum Allowable Transmission Interval
Michael Hertneck, Frank Allgöwer
When designing Networked Control Systems (NCS), the maximum allowable transmission interval (MATI) is an important quantity, as it provides the admissible time between two transmis…