45 citations · 140 across the 10 of their papers we have counts for
10 papers
Learning and Control Beyond Linearity: Towards a Non-asymptotic Theory for Bilinear Systems
Yahya Sattar, Yassir Jedra, Robin Strässer +3
This tutorial provides a unified view of the emerging area of bilinear learning and control. Using linear systems as a benchmark, it explains what fundamentally changes in the bili…
Koopman meets input-output data: Data-driven output-feedback control of nonlinear systems with closed-loop guarantees
Robin Strässer, Julian Berberich, Manuel Schaller +2
Data-driven control of nonlinear systems from input-output measurements remains a fundamental challenge, as existing approaches with rigorous closed-loop guarantees predominantly r…
Collision Avoidance Safety Filter for an Autonomous E-Scooter using Ultrasonic Sensors
Robin Strässer, Marc Seidel, Felix Brändle +4
In this paper, we propose a collision avoidance safety filter for autonomous electric scooters to enable safe operation of such vehicles in pedestrian areas. In particular, we empl…
SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
Robin Strässer, Manuel Schaller, Karl Worthmann +2
The Koopman operator serves as the theoretical backbone for machine learning of dynamical control systems, where the operator is heuristically approximated by extended dynamic mode…
Koopman-based feedback design with stability guarantees
Robin Strässer, Manuel Schaller, Karl Worthmann +2
We present a method to design a state-feedback controller ensuring exponential stability for nonlinear systems using only measurement data. Our approach relies on Koopman-operator…
Decrypting Nonlinearity: Koopman Interpretation and Analysis of Cryptosystems
Robin Strässer, Sebastian Schlor, Frank Allgöwer
Public-key cryptosystems rely on computationally difficult problems for security, traditionally analyzed using number theory methods. In this paper, we introduce a novel perspectiv…
Robust data-driven control for nonlinear systems using the Koopman operator
Robin Strässer, Julian Berberich, Frank Allgöwer
Data-driven analysis and control of dynamical systems have gained a lot of interest in recent years. While the class of linear systems is well studied, theoretical results for nonl…
Control of bilinear systems using gain-scheduling: Stability and performance guarantees
Robin Strässer, Julian Berberich, Frank Allgöwer
In this paper, we present a state-feedback controller design method for bilinear systems. To this end, we write the bilinear system as a linear fractional representation by interpr…
Koopman interpretation and analysis of a public-key cryptosystem: Diffie-Hellman key exchange
Sebastian Schlor, Robin Strässer, Frank Allgöwer
The security of public-key cryptosystems relies on computationally hard problems, that are classically analyzed by number theoretic methods. In this paper, we introduce a new persp…
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…