System Identification Toolbox

Validating Results

System Identification Toolbox helps validate the accuracy of identified models using independent sets of measured data from a real system. For a given set of input data, you can compare simulated output of the identified model with the measured output from the real system. You can also view the prediction error and produce time- and frequency-response plots with confidence bounds to visualize the effect of parameter uncertainties on model responses.

Analyzing and validating estimated models. You can validate estimated models against test data, view time- and frequency-domain responses, and explore the shape of estimated nonlinearities.