When you estimate the model parameters from data, you obtain their nominal values that are accurate within a confidence region. The size of this region is determined by the values of the parameter uncertainties computed during estimation. The magnitude of the uncertainties provide a measure of the reliability of the model. You can compute and visualize the effect of parameter uncertainties on the model response in time and frequency domains.
|Display model information, including estimated uncertainty
|Simulate linear models with uncertainty using Monte Carlo method
|Evaluate system response over a grid of frequencies
|Random sampling of linear identified systems
|Display confidence regions on response plots for identified models
|Parameter covariance of identified model
|Set parameter covariance data in identified model
|Translate parameter covariance across model transformation operations
|Step response of dynamic system
|Plot step response with additional plot customization options
|Impulse response plot of dynamic system; impulse response data
|Bode plot of frequency response, or magnitude and phase data
|Magnitude-only Bode plot of frequency response
|Nyquist plot of frequency response
|Nyquist plot with additional plot customization options
|Plot pole-zero map for I/O pairs of model
|Plot pole-zero map for I/O pairs with additional plot customization options
|Option set for
Examples and How To
- 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.
- 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.
- 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.
- 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
- 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.
- Compute Model Uncertainty
Compute model parameter uncertainty of linear models.