Overview
Learn about the crucial differences between prediction and simulation in system identification through this 20-minute educational video from the JuliaHub series on system identification with Julia. Explore how these concepts impact model estimation, particularly focusing on ARX models and predictor formation. Discover the relationship between predictors and simulators, understand which approach might be more suitable for different scenarios, and gain practical insights using JuliaSim and ControlSystemIdentification tools. Access accompanying resources including a detailed notebook file, comprehensive tutorials on unstable systems, and documentation for enterprise-level modeling and simulation solutions. Master the fundamentals of estimating dynamical models using input-output data while leveraging the Julia programming language's capabilities for system identification applications.
Syllabus
Prediction vs. Simulation
For the ARX model
What is easier?
How to form a predictor
Relationship between predictor and simulator
What should you use?
Taught by
JuliaHub