# A Survey on Machine Learning Applied to Dynamic Physical Systems

arXiv: https://arxiv.org/abs/2009.09719 · HTML: https://mlsanity.com/paper/2009.09719/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Sep 2020.

## Built on by (most cited first, 1 of 1)

- [Cost-effective Reduced-Order Modeling via Bayesian Active Learning](https://mlsanity.com/paper/2506.22645/) (2025)

## Abstract (arXiv)

This survey is on recent advancements in the intersection of physical modeling and machine learning. We focus on the modeling of nonlinear systems which are closer to electric motors. Survey on motor control and fault detection in operation of electric motors has been done.