Model Validation

Compare model to measured output, residual analysis, response plots with confidence bounds

After estimating a model, you can validate whether it reproduces the system behavior within acceptable bounds. You can then iterate between model refinement and validation until you find the simplest model that best captures the system dynamics.

Categories

Model Validation Basics
Ways to validate models, refine models, troubleshooting
Compare Output with Measured Data
Plot simulated or predicted output and measured data for comparison, compute best fit values
Residual Analysis
Analyze residuals using whiteness and independence tests
Uncertainty Analysis
Compute parameter variability, plot confidence bounds