Parameter Calibration for Nonlinear ODEs in System Identification - Part 9

Learn parameter estimation techniques for nonlinear Ordinary Differential Equations (ODEs) in this 15-minute tutorial video from JuliaHub's system identification series. Master the prediction-error method for gray-box identification, where models have fixed structures but unknown parameters. Follow along with provided notebook examples and detailed documentation to implement parameter calibration using Julia programming language. Explore practical applications through a quad-tank example, gain insights into covariance matrix selection, and utilize powerful tools like JuliaSim and ControlSystemIdentification. Access comprehensive resources including code notebooks, documentation links, and blog posts to deepen understanding of nonlinear system identification concepts. Progress through structured sections covering introduction, system description, dynamics, estimation, and results while learning to apply these techniques to real-world engineering problems.