Types of Data You Can Model
For linear models, you can identify both time- and frequency-domain
data with single or multiple inputs and outputs. Time-domain data
can be either real or complex.
For nonlinear models, this toolbox supports only time-domain
data.
Time-domain data is one or more input variables u(t) and
one or more output variables y(t), sampled as
a function of time.
Frequency-domain data is the Fourier transform
of the input and output time-domain signals.
Frequency-response data, also called frequency-function
data, represents complex frequency-response values for
a linear system characterized by its transfer function G.
You can measure frequency-response data values directly using a spectrum
analyzer, for example.
Time-series data, which contains one or
more outputs y(t) and no measured input, can
be time-domain or frequency-domain data.
 | Data Import and Processing | | Ways to Process Data for System Identification |  |
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