System Identification Toolbox™ software supports estimation of linear models from both time- and frequency-domain data. For nonlinear models, this toolbox supports only time-domain data. For more information, see Supported Models for Time- and Frequency-Domain Data.
The data can have single or multiple inputs and outputs, and can be either real or complex.
Your time-domain data should be sampled at discrete and uniformly spaced time instants to obtain an input sequence
and a corresponding output sequence
u(t) and y(t) are the values of the input and output signals at time t, respectively.
This toolbox supports modeling both single- or multiple-channel input-output data or time-series data.
|Time-domain I/O data
|One or more input variables u(t) and one or more output variables y(t), sampled as a function of time. Time-domain data can be either real or complex
|Contains one or more outputs y(t) and no measured input. Can be time-domain or frequency-domain data.
|Fourier transform of the input and output time-domain signals. The data is the set of input and output signals in frequency domain; the frequency grid need not be uniform.
|Complex frequency-response values for a linear system characterized
by its transfer function G, measurable directly
using a spectrum analyzer. Also called frequency function
data. Represented by
The data sample time may be zero or nonzero. The frequency vector
need not be uniformly spaced.
If your data is complex valued, see Manipulating Complex-Valued Data for information about supported operations for complex data.