Estimate Nonlinear Dynamics with System Identification - MATLAB & Simulink

Video and Webinar Series

Estimate Nonlinear Dynamics with System Identification

System Identification Toolbox™ provides various methods for accurately estimating nonlinear dynamics from input and output data. This video series offers an overview of how to incorporate physical insights to estimate nonlinear dynamics through two distinct methods: first, by using physics-inspired estimators, and second, by building upon linear models with AI.

Learn how to include physics insights and knowledge of your system for estimating nonlinear models using Hammerstein-Wiener and nonlinear ARX models.

Use Physics-Inspired Estimators for Estimating Nonlinear Dynamics

Learn how to include physics insights and knowledge of your system for estimating nonlinear models using Hammerstein-Wiener and nonlinear ARX models.

Learn how to identify interpretable models of your system by combining system identification methods with machine learning and deep learning techniques.

Build Upon Linear Models with AI for Estimating Nonlinear Dynamics

Learn how to identify interpretable models of your system by combining system identification methods with machine learning and deep learning techniques.