Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control

Carl Folkestad, Daniel Pastor, Igor Mezic +3

This paper presents a novel learning framework to construct Koopman eigenfunctions for unknown, nonlinear dynamics using data gathered from experiments. The learning framework can…