The System Identification Toolkit provides two tools: an assistant
and a library of VIs for developing models of a system based on a
large set of raw data. Both tools enable you to complete the entire
system identification process from analyzing the raw data to
validating the identified model.

Without prior knowledge about programming in LabVIEW, you can use
the LabVIEW System Identification Assistant to identify and validate
linear time-invariant models of systems from empirical data. Using
the System Identification Assistant, you can load or acquire raw
data into the System Identification Assistant, preprocess the data,
estimate a model that describes the system, and then validate the
accuracy of the model. The System Identification Assistant has
windows in which you can immediately see the raw data, the
response data, the estimated model, the validation results, and
the mathematical equations that describe the model.

The System Identification Toolkit also provides VIs that you can
use to preprocess raw data from a dynamic system, build a
mathematical model that reflects the behavior of that system, and
validate the identified model. The System Identification VIs
enable you to customize a LabVIEW block diagram to achieve specific
goals. You also can use other LabVIEW VIs and functions to enhance
the functionality of the application. Unlike creating a project
with the System Identification Assistant, creating a LabVIEW
application using these VIs requires basic knowledge about
programming in LabVIEW.

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