You will have to examine the measured data, and create new data sets from the original one by various preprocessing.
Then you will estimate models using the data. The models are estimated within certain classes of candidate descriptions (model structures), typically by choosing that model that gives the best output fit to the measured data. Quite a few models are normally estimated, and their properties are scrutinized and analyzed in different model views.
Ident is a graphical user interface to the System Identification Toolbox, that helps you with these tasks. The ident window governs all data handling, model estimation, and model analysis. The ident window also keeps a detailed record of all data sets and models. Data sets and models are represented as icons in the tables of black boxes.
The process of system identification using ident involves the following six steps:
Importing data into ident.
Examining data.
Preprocessing data.
Estimating models based on data.
Analyzing the models.
Exporting resulting models for further use.
It contains six check boxes that allow you to examine the selected models.
To open a View, check the corresponding box. A selected data set or model is one whose icon has a thick line. Clicking an icon toggles its selection. On color screens, the views are color coded so that curves in the View windows have the same color as their associated icons.
The Data Views give time and frequency domain plots of the input output data.
The Model Views analyse and display several model properties.
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