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System Identification VIs

LabVIEW 2013 System Identification Toolkit Help

Edition Date: June 2013

Part Number: 372458D-01

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June 2013, 370805G-01

Requires: System Identification Toolkit. This topic might not match its corresponding palette in LabVIEW depending on your operating system, licensed product(s), and target.

Use the System Identification VIs to create and estimate mathematical models of dynamic systems. You can use the VIs to estimate accurate models of systems based on observed input-output data.

The VIs on this palette can return general LabVIEW error codes or specific System Identification error codes.

Palette ObjectDescription
SI Convert to Models of CDTConverts a model you created in the LabVIEW System Identification Toolkit into a transfer function, zero-pole-gain, or state-space model that you can use with the LabVIEW Control Design and Simulation Module. You must manually select the polymorphic instance to use.


SubpaletteDescription
Data Preprocessing VIsUse the Data Preprocessing VIs to preprocess the raw data that you acquired from an unknown system.
Frequency-Domain Model Estimation VIsUse the Frequency-Domain Model Estimation VIs to estimate the frequency response function (FRF) and to identify a transfer function (TF) or a state-space (SS) model of an unknown system.
Model Analysis VIsUse the Model Analysis VIs to perform a Bode, Nyquist, or pole-zero analysis of a system model and to compute the standard deviation of the results.
Model Conversion VIsUse the Model Conversion VIs to convert an AR, ARX, ARMAX, output-error, Box-Jenkins, general-linear, or state-space model into a transfer function, zero-pole-gain, or state-space model. You also can convert a continuous model to a discrete model or convert a discrete model to a continuous model.
Model Management VIsUse the Model Management VIs to access information about the system model. Model information includes properties such as the system type, sampling rate, system dimensions, noise covariance, and so on.
Model Validation VIsUse the Model Validation VIs to analyze and validate a system model.
Nonparametric Model Estimation VIsUse the Nonparametric Model Estimation VIs to estimate the impulse response or frequency response of an unknown, linear, time-invariant system from an input and corresponding output signal.
Parametric Model Estimation VIsUse the Parametric Model Estimation VIs to estimate a parametric mathematical model for an unknown, linear, time-invariant system.
Partially Known Model Estimation VIsUse the Partially Known Model Estimation VIs to create and estimate partially known models for a dynamic system.
Recursive Model Estimation VIsUse the Recursive Model Estimation VIs to recursively estimate the parametric mathematical model for an unknown system.
Utilities VIsUse the Utilities VIs to perform miscellaneous tasks on data or the system model, including producing data samples, displaying model equations, merging models, and so on.

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