不確かさの解析
データからモデルのパラメーターを推定するときに、信頼領域内で正確であるノミナル値が得られます。この領域のサイズは、推定時に計算されたパラメーターの不確かさの値によって決定されます。不確かさの大きさにより、モデルの信頼性の測定が与えられます。時間領域および周波数領域におけるモデル応答に対するパラメーターの不確かさの影響を計算し可視化できます。
関数
トピック
- Compute Model Uncertainty
Compute model parameter uncertainty of linear models.
- Plot Impulse and Step Response Using the System Identification App
To create a transient analysis plot in the System Identification app, select the Transient resp check box in the Model Views area. For general information about creating and working with plots, see Working with Plots.
- Plot Bode Plots Using the System Identification App
To create a frequency-response plot for linear models in the System Identification app, select the Frequency resp check box in the Model Views area. For general information about creating and working with plots, see Working with Plots.
- Plot the Noise Spectrum Using the System Identification App
To create a noise spectrum plot for parametric linear models in the app, select the Noise spectrum check box in the Model Views area. For general information about creating and working with plots, see Working with Plots.
- Plot the Noise Spectrum at the Command Line
To plot the disturbance spectrum of an input-output model or the output spectrum of a time series model, use
spectrum
. - Model Poles and Zeros Using the System Identification App
To create a pole-zero plot for parametric linear models in the System Identification app, select the Zeros and poles check box in the Model Views area. For general information about creating and working with plots, see Working with Plots.