629 citations · 1.7k across the 20 of their papers we have counts for
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Optimized Sampling for Multiscale Dynamics
Krithika Manohar, Eurika Kaiser, Steven L. Brunton +1
The characterization of intermittent, multiscale and transient dynamics using data-driven analysis remains an open challenge. We demonstrate an application of the Dynamic Mode Deco…
Metric for attractor overlap
Rishabh Ishar, Eurika Kaiser, Marek Morzynski +6
We present the first general metric for attractor overlap (MAO) facilitating an unsupervised comparison of flow data sets. The starting point is two or more attractors, i.e., ensem…
Dynamic mode decomposition for compressive system identification
Zhe Bai, Eurika Kaiser, Joshua L. Proctor +2
Dynamic mode decomposition has emerged as a leading technique to identify spatiotemporal coherent structures from high-dimensional data, benefiting from a strong connection to nonl…
Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton
The data-driven discovery of dynamics via machine learning is currently pushing the frontiers of modeling and control efforts, and it provides a tremendous opportunity to extend th…
Data-driven discovery of Koopman eigenfunctions for control
Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton
Data-driven transformations that reformulate nonlinear systems in a linear framework have the potential to enable the prediction, estimation, and control of strongly nonlinear dyna…
Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk
Ruiying Li, Bernd R. Noack, Laurent Cordier +3
We advance Machine Learning Control (MLC), a recently proposed model-free control framework which explores and exploits strongly nonlinear dynamics in an unsupervised manner. The a…