Media Summary: Automated data-driven modeling, the process of directly discovering the governing equations of a dynamical system from data, ... Increased computational resources and machine learning methods have triggered a new era of data science that has ... This video discusses data requirements for the Sparse Identification of Nonlinear Dynamics (SINDy)
Pysindy Tutorial 2 Choosing Algorithm - Detailed Analysis & Overview
Automated data-driven modeling, the process of directly discovering the governing equations of a dynamical system from data, ... Increased computational resources and machine learning methods have triggered a new era of data science that has ... This video discusses data requirements for the Sparse Identification of Nonlinear Dynamics (SINDy) Discovering Interpretable Dynamics by Sparsity Promotion on Energy and the Lagrangian, IEEE Robotics and Automation Letters, ... Machine learning is enabling the discovery of dynamical systems models and governing equations purely from measurement data ... Speaker: Kadierdan Kaheman Event: Second Symposium on Machine Learning and Dynamical Systems ...
![[ICRA2020] Discovering Interpretable Dynamics by Sparsity Promotion on Energy and the Lagrangian](https://i.ytimg.com/vi/70DQMpIt10E/mqdefault.jpg)
