SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics
Author:
Affiliation:
1. Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
2. Department of Applied Mathematics, University of Washington, Seattle, WA 98195, USA
Abstract
Funder
Air Force Office of Scientific Research
Army Research Office
Publisher
The Royal Society
Subject
General Physics and Astronomy,General Engineering,General Mathematics
Link
https://royalsocietypublishing.org/doi/pdf/10.1098/rspa.2020.0279
Reference78 articles.
1. Data-Driven Science and Engineering
2. Perspectives on system identification
3. Dynamic mode decomposition of numerical and experimental data
4. Dynamic Mode Decomposition
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