Towards Data-driven LQR with Koopmanizing Flows

Petar Bevanda, Max Beier, Shahab Heshmati-Alamdari +2

We propose a novel framework for learning linear time-invariant (LTI) models for a class of continuous-time non-autonomous nonlinear dynamics based on a representation of Koopman o…