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| Learn more about System Identification Toolbox |
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.
The data can have single or multiple inputs and outputs, and can be either real or complex.
Your data should be sampled at discrete and uniformly spaced time instants to obtain an input sequence
u={u(T),u(2T),...,u(NT)}
and a corresponding output sequence
y={y(T),y(2T),...,y(NT)}
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.
| Supported Data | Description |
|---|---|
| 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 |
| Time-series data | Contains one or more outputs y(t) and no measured input. Can be time-domain or frequency-domain data. |
| Frequency-domain data | Fourier transform of the input and output time-domain signals. |
| Frequency-response data | 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. |
Note If your data is complex valued, see Manipulating Complex-Valued Data for information about supported operations for complex data. |
![]() | Data Import and Processing | Ways to Process Data for System Identification | ![]() |

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