System Identification Sparse Nonlinear Models With Control

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Core Information

Information Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later! Update

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History

Full PySINDy tutorial 3: robust sparse system identification News

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PySINDy tutorial 1: overview of PySINDy for sparse system identification

PySINDy tutorial 4: robust sparse system identification by ensembling

Sparse Identification of Nonlinear Dynamics for Model Predictive Control

Sparse Identification of Nonlinear Dynamics (SINDy)

System Identification: Full-State Models with Control

Sparse Nonlinear Dynamics Models with SINDy, Part 3: Effective Coordinates for Parsimonious Models

Sparse Nonlinear Dynamics Models with SINDy, Part 4: The Library of Candidate Nonlinearities

Nonlinear System Identification | System Identification, Part 3

Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory - ICRA 2019

PySINDy tutorial 5: Building in physical priors with constraints

Data-Driven Control: Linear System Identification

Detailed Analysis

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Last Updated: September 27, 2026

Future Outlook

Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization Guide

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Summary

This lecture explores an extension of the Machine learning is enabling the discovery of dynamical PySINDy ( github.com/dynamicslab/pysindy) is a Python package that provides tools for applying the This video illustrates a new algorithm for the This lecture provides an overview of modern data-driven regression methods for linear and This video discusses how to choose good coordinates for the This is the accompanying video for our submission to ICRA 2019. For more information, the preprint of our paper here: ...

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