| System Identification | Identify models of dynamic systems from measured data |
cra | Estimate impulse response using prewhitened-based correlation analysis |
impulseest | Nonparametric impulse response estimation |
impulseestOptions | Options set for impulseest |
Estimate Impulse-Response Models Using System Identification App
Estimate in the app using time-domain correlation analysis.
Estimate Impulse-Response Models at the Command Line
Use impulseest command to estimate
using correlation analysis.
Obtain numerical impulse- and step-response vectors as a function of time.
Identify Delay Using Transient-Response Plots
You can use transient-response plots to estimate the input delay, or dead time, of linear systems.
What Is Time-Domain Correlation Analysis?
Time-domain correlation analysis refers to non-parametric estimation of the impulse response of dynamic systems as a finite impulse response (FIR) model from the data.
Data Supported by Correlation Analysis
Characteristics of data supported for estimation of impulse-response models.
Correlation Analysis Algorithm
Correlation analysis refers to methods that estimate the impulse response of a linear model, without specific assumptions about model orders.