Data-driven Effective Modeling of Multiscale Stochastic Dynamical Systems
Machine Learning
2024-08-28 v1 Numerical Analysis
Numerical Analysis
Machine Learning
Abstract
We present a numerical method for learning the dynamics of slow components of unknown multiscale stochastic dynamical systems. While the governing equations of the systems are unknown, bursts of observation data of the slow variables are available. By utilizing the observation data, our proposed method is capable of constructing a generative stochastic model that can accurately capture the effective dynamics of the slow variables in distribution. We present a comprehensive set of numerical examples to demonstrate the performance of the proposed method.
Keywords
Cite
@article{arxiv.2408.14821,
title = {Data-driven Effective Modeling of Multiscale Stochastic Dynamical Systems},
author = {Yuan Chen and Dongbin Xiu},
journal= {arXiv preprint arXiv:2408.14821},
year = {2024}
}
Comments
arXiv admin note: text overlap with arXiv:2406.15747