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Learn more about System Identification Toolbox   

Types of Data You Can Model

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 DataDescription
Time-domain I/O dataOne 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 dataContains one or more outputs y(t) and no measured input. Can be time-domain or frequency-domain data.
Frequency-domain dataFourier transform of the input and output time-domain signals.
Frequency-response dataComplex frequency-response values for a linear system characterized by its transfer function G, measurable directly using a spectrum analyzer. Also called frequency function data.

  


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