Discovering transition phenomena from data of stochastic dynamical systems with Lévy noise-Reference-Cited by-同舟云学术

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Discovering transition phenomena from data of stochastic dynamical systems with Lévy noise

Published:2020-09 Issue:9 Volume:30 Page:093110
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Lu Yubin¹^ORCID,Duan Jinqiao²^ORCID

Affiliation:

1. School of Mathematics and Statistics and Center for Mathematical Sciences, Huazhong University of Science and Technology, Wuhan 430074, China

2. Department of Applied Mathematics, College of Computing Illinois Institute of Technology, Chicago, Illinois 60616, USA

Funder

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0004450

Reference22 articles.

1. Discrete approach to stochastic parametrization and dimension reduction in nonlinear dynamics

2. Nonparametric estimation of stochastic differential equations with sparse Gaussian processes

3. Discovering governing equations from data by sparse identification of nonlinear dynamical systems

4. Data-driven discovery of coordinates and governing equations

5. Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems

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