Data-driven approximation of the Koopman generator: Model reduction, system identification, and control

Stefan Klus, Feliks Nüske, Sebastian Peitz +3

We derive a data-driven method for the approximation of the Koopman generator called gEDMD, which can be regarded as a straightforward extension of EDMD (extended dynamic mode deco…