SINDy-BVP: Sparse identification of nonlinear dynamics for boundary value problems

SINDy-BVP: Sparse identification of nonlinear dynamics for boundary value problems

We develop a data-driven model discovery and system identification technique for spatially-dependent boundary value problems (BVPs). Specifically, we leverage the sparse identification of nonlinear dynamics (SINDy) algorithm and group sparse regression techniques with a set of forcing functions and...

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Bibliographic Details
Main Authors: Daniel E. Shea, Steven L. Brunton, J. Nathan Kutz
Format: Article
Language:English
Published: American Physical Society 2021-06-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.3.023255

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