You can estimate linear, black-box polynomial models from data with the following characteristics:
You must import your data into the MATLAB® workspace, as described in Data Preparation.
To get a linear, continuous-time model of arbitrary structure for time-domain data, you
can estimate a discrete-time model, and then use
d2c to transform it to a continuous-time model.
For continuous-time frequency-domain data, you can estimate directly only Output-Error (OE) continuous-time models. Other structures include noise models, which is not supported for frequency-domain data.
To denote continuous-time frequency-domain data, set the data sample time to 0. You
can set the sample time when you import data into the app or set the
property of the data object at the command line.
You can estimate arbitrary-order, linear state-space models for both time- or frequency-domain data.
Set the data property
0, for frequency response data that is measured directly from an
Equal to the
Ts of the original data, for frequency response data
obtained by transforming time-domain
You can set the sample time when you import data into the app or set the
Ts property of the data object at the command line.