Deep Koopman Sensing
Deep Koopman Sensing is proposed, a data-driven reduced-order DA framework that combines a nonlinear autoencoder with parameter-conditioned linear latent dynamics approximating the Koopman operator, and shows that latent dynamics should be designed for the downstream estimation task rather than selected solely for fore...