Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs
Abstract
Isostable reduction is a powerful technique that can be used to characterize behaviors of nonlinear dynamical systems using a basis of slowly decaying eigenfunctions of the Koopman operator. When the underlying dynamical equations are known, previously developed numerical techniques allow for high-order accuracy computation of isostable reduced models. However, in situations where the dynamical equations are unknown, few general techniques are...
Paper Details
Title
Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs
Published Date
Jun 29, 2021
Journal
Volume
31
Issue
6
Pages
063137
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