|Plot input and output channels of |
|Analysis and recommendations for data or estimated linear models|
|Estimate time delay (dead time) from data|
|Determine whether |
|Identify possible feedback data|
|Level of excitation of input signals|
|Nonparametric impulse response estimation|
|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|
|Option set for |
After importing data into the System Identification app, as described in データの表現, you can plot the data.
The following table summarizes the commands available for plotting time-domain, frequency-domain, and frequency-response data.
You can use the
advice command to analyze
time- or frequency- domain data before estimating a model. The resulting
report informs you about the possible need to preprocess the data
and identifies potential restrictions on the model accuracy. You should
use these recommendations in combination with plotting the data and
validating the models estimated from this data.
You can use transient-response plots to estimate the input delay, or dead time, of linear systems. Input delay represents the time it takes for the output to respond to the input.
Before you start estimating models from data, you should check your data for the presence of any undesirable characteristics. For example, you might plot the data to identify drifts and outliers. You plot analysis might lead you to preprocess your data before model estimation.