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#
Identify dynamic system models directly from real-world stimulus and response
signals
# Seamlessly integrate data acquisition with system identification
algorithms
# Integrate plant models with other LabVIEW tools for control
design and simulation
# Accepts both time-based and frequency-based
data

The NI LabVIEW System Identification Toolkit combines data
acquisition tools with system identification algorithms for accurate plant
modeling. You can take advantage of LabVIEW intuitive data acquisition tools
such as the DAQ Assistant to stimulate and acquire data from the plant and then
automatically identify a dynamic system model. You can convert system
identification models to state-space, transfer function, or pole-zero-gain form
for control system analysis and design. The toolkit includes built-in functions
for common tasks such as data preprocessing, model creation, and system
analysis. Using other built-in utilities, you can plot the model with intuitive
graphical representation as well as store the model.