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physics.flu-dyn2017★ 21 cited
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…
physics.flu-dyn2017
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…