Linearly-Recurrent Autoencoder Networks for Learning Dynamics

Samuel E. Otto, Clarence W. Rowley

This paper describes a method for learning low-dimensional approximations of nonlinear dynamical systems, based on neural-network approximations of the underlying Koopman operator.…