45 citations · 144 across the 50 of their papers we have counts for
4 papers · 2 filters
Kernel-based Koopman approximants for control: Flexible sampling, error analysis, and stability
Lea Bold, Friedrich M. Philipp, Manuel Schaller +1
Data-driven techniques for analysis, modeling, and control of complex dynamical systems are on the uptake. Koopman theory provides the theoretical foundation for the popular kernel…
Perturbations in PDE-constrained optimal control decay exponentially in space
Simone Göttlich, Manuel Schaller, Karl Worthmann
For linear-quadratic optimal control problems (OCPs) governed by elliptic and parabolic partial differential equations (PDEs), we investigate the impact of perturbations on optimal…
Fast and memory-efficient optimization for large-scale data-driven predictive control
Philipp Schmitz, Manuel Schaller, Matthias Voigt +1
Recently, data-enabled predictive control (DeePC) schemes based on Willems' fundamental lemma have attracted considerable attention. At the core are computations using Hankel-like…
Linear-quadratic optimal control for infinite-dimensional input-state-output systems
Timo Reis, Manuel Schaller
We examine the minimization of a quadratic cost functional composed of the output and the final state of abstract infinite-dimensional evolution equations in view of existence of s…