A hybrid of extended and higher-order dynamic mode decomposition, trained with trajectories from every basin of attraction, can identify nonlinear systems with multiple attractors and approximate boundaries between them.
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Data-Driven Model Identification Using Time Delayed Nonlinear Maps for Systems with Multiple Attractors
A hybrid of extended and higher-order dynamic mode decomposition, trained with trajectories from every basin of attraction, can identify nonlinear systems with multiple attractors and approximate boundaries between them.