... data-driven methods for stability analysis in dynamical systems. Linear data-driven model reduction approaches, e.g., the dynamic mode decomposition and Koopman operators, have been employed in predicting the onset of instabilities [ 28 – 32 ]. However, linear techniques are not applicable...

... identification, ranging from industrial engineering and acoustic signal processing to stock market models. In order to find appropriate representations of underlying dynamical systems, various data-driven methods have been proposed by different communities. However, if the given data sets are high-dimensional...