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Found 8 papers, 0 papers with code
Collision Avoidance Safety Filter for an Autonomous E-Scooter using Ultrasonic Sensors
In this paper, we propose a collision avoidance safety filter for autonomous electric scooters to enable safe operation of such vehicles in pedestrian areas.
SafEDMD: A certified learning architecture tailored to data-driven control of nonlinear dynamical systems
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 decomposition (EDMD).
Koopman-based feedback design with stability guarantees
We present a method to design a state-feedback controller ensuring exponential stability for nonlinear systems using only measurement data.
Decrypting Nonlinearity: Koopman Interpretation and Analysis of Cryptosystems
Our results on the required lifting dimension are in line with the intractability of brute-force attacks.
Control of bilinear systems using gain-scheduling: Stability and performance guarantees
In this paper, we present a state-feedback controller design method for bilinear systems.
Robust data-driven control for nonlinear systems using the Koopman operator
Data-driven analysis and control of dynamical systems have gained a lot of interest in recent years.
Koopman interpretation and analysis of a public-key cryptosystem: Diffie-Hellman key exchange
In this paper, we introduce a new perspective on cryptosystems by interpreting the Diffie-Hellman key exchange as a nonlinear dynamical system.
Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics
While most existing approaches focus on systems with polynomial dynamics, our approach allows to design controllers for unknown systems with rational or general non-polynomial dynamics.
