|System Identification||Identify models of dynamic systems from measured data|
|Estimate empirical transfer functions and periodograms|
|Estimate frequency response with fixed frequency resolution using spectral analysis|
|Estimate frequency response and spectrum using spectral analysis with frequency-dependent resolution|
|Frequency-response data or model|
You must have already imported your data into the app and performed any necessary preprocessing operations. For more information, see データの準備.
You can use the
to estimate spectral models. The following table provides a brief
description of each command and usage examples.
A frequency-response model is the frequency
response of a linear system evaluated over a range of frequency values.
The model is represented by an
object that stores the frequency response, sample time, and input-output
Characteristics of data supported for estimation of spectral analysis models.
How to select the method for computing spectral models during estimation in the app and at the command line.
Controlling frequency resolution of spectral models during estimation in the app and at the command line.
The spectrum of a signal is the square
of the Fourier transform of the signal. The spectral estimate using
normalized by the sample time T: