3 papers
math.NA2026
Symmetric Hermite quadrature-based balanced truncation for learning linear dynamical systems from derivative data
Sean Reiter, Steffen W. R. Werner
Data-driven reduced-order modeling is an essential component in the computer-aided design of control systems. In this work, we present a novel symmetric Hermite formulation of the…
math.OC2025
An adaptive data sampling strategy for stabilizing dynamical systems via controller inference
Steffen W. R. Werner, Benjamin Peherstorfer
Learning stabilizing controllers from data is an important task in engineering applications; however, collecting informative data is challenging because unstable systems often lead…
math.OC2024
System stabilization with policy optimization on unstable latent manifolds
Steffen W. R. Werner, Benjamin Peherstorfer
Stability is a basic requirement when studying the behavior of dynamical systems. However, stabilizing dynamical systems via reinforcement learning is challenging because only litt…