Nonlinear stochastic modelling with Langevin regression
Author:
Affiliation:
1. Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
2. Laboratoire DynFluid, Arts et Mètiers ParisTech, 75013 Paris, France
3. Department of Aeronautics, Imperial College London, London SW7 2AZ, UK
Abstract
Funder
Air Force Office of Scientific Research
NDSEG Fellowship
Army Research Office
Engineering and Physical Sciences Research Council
Publisher
The Royal Society
Subject
General Physics and Astronomy,General Engineering,General Mathematics
Link
https://royalsocietypublishing.org/doi/pdf/10.1098/rspa.2021.0092
Reference75 articles.
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5. Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems
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