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Discovering Governing Equations with SINDy by ZHANG JUNJIE is a document available to read on EtoBox.
What is Discovering Governing Equations with SINDy about?
The document presents a new method for discovering governing equations from partial measurements of dynamical systems using deep learning and time-delay embeddings. A custom deep autoencoder network is designed to learn a coordinate transformation from the delay-embedded space to a new space where dynamics can be represented in a sparse, closed form using SINDy. The approach is demonstrated on standard nonlinear systems and a chaotic waterwheel experiment, learning models from single measurement variables.
- Author
- ZHANG JUNJIE
- Language
- EN