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…