Nature Communications (Nov 2018)
Deep learning for universal linear embeddings of nonlinear dynamics
Abstract
It is often advantageous to transform a strongly nonlinear system into a linear one in order to simplify its analysis for prediction and control. Here the authors combine dynamical systems with deep learning to identify these hard-to-find transformations.