Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems

7 Feb 2019 Chinmay S. Kulkarni

We study the performance of sparse regression methods and propose new techniques to distill the governing equations of dynamical systems from data. We first look at the generic methodology of learning interpretable equation forms from data, proposed by Brunton et al., followed by performance of LASSO for this purpose... (read more)

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