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Data Cataloging based SINDy Approach for Weather Forecasting

This notebook gives an overview of the Sparse Identification of Nonlinear Dynamical systems (SINDy) method and discusses the relationship between SINDy and PySINDy. It also includes a brief example showing how different objects in the SINDy method are represented in PySINDy. Main ideas

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[2108.13404] SINDy with Control: A Tutorial - arXiv.org

We simulate the double pendulum dynamics, derived from the Euler-Lagrange equations, and use SINDy-PI to re-discover the dynamics from noisy measurements of the trajectory data. The governing equations and SINDy-PI models are provided in appendix F.

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[2309.07193] A Robust SINDy Approach by Combining Neural Networks and ...

Sparse identification of nonlinear dynamics (SINDy) is a data-driven algorithm for obtaining dynamical systems from data.

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