周波数応答モデル

スペクトル解析を使用して得られる周波数応答モデル

アプリ

Identify models of dynamic systems from measured data

Estimate spectral model using time-domain data in the live editor

`etfe`	Estimate empirical transfer functions and periodograms
`spa`	Estimate frequency response with fixed frequency resolution using spectral analysis
`spafdr`	Estimate frequency response and spectrum using spectral analysis with frequency-dependent resolution
`idfrd`	Frequency response data or model

`getpvec`	Obtain model parameters and associated uncertainty data
`setpvec`	Modify values of model parameters
`bode`	周波数応答、または振幅と位相データのボード線図
`bodemag`	周波数応答の振幅のみのボード線図
`freqresp`	グリッド上の周波数応答
`chgFreqUnit`	周波数応答データモデルの周波数単位の変更

Estimate Frequency-Response Models in the App
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.
Estimate Frequency-Response Models at the Command Line
You can use the etfe, spa, and spafdr commands to estimate spectral models. The following table provides a brief description of each command and usage examples.

What is a Frequency-Response Model?
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 idfrd model object that stores the frequency response, sample time, and input-output channel information.
Data Supported by Frequency-Response Models
Characteristics of data supported for estimation of spectral analysis models.
Selecting the Method for Computing Spectral 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
Controlling frequency resolution of spectral models during estimation in the app and at the command line.
Spectrum Normalization
The spectrum of a signal is the square of the Fourier transform of the signal. The spectral estimate using the commands spa, spafdr, and etfe is normalized by the sample time T: