LabVIEW Control Design and Simulation Module

Parametric Model Estimation VIs

  • Updated2023-03-14
  • 2 minute(s) read

Owning Palette: System Identification VIs

Requires: Advanced Signal Processing Toolkit or Control Design and Simulation Module. This topic might not match its corresponding palette in LabVIEW depending on your operating system, licensed product(s), and target.

Use the Parametric Model Estimation VIs to estimate a parametric mathematical model for an unknown, linear, time-invariant system.

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

Palette ObjectDescription
SI Estimate AR ModelEstimates the parameters of an AR model for an unknown system. Wire data to the response signal input to determine the polymorphic instance to use or manually select the instance.
SI Estimate ARMAX ModelEstimates the parameters of an ARMAX model for an unknown system. Wire data to the stimulus signal and response signal inputs to determine the polymorphic instance to use or manually select the instance.
SI Estimate ARX ModelEstimates the parameters of an ARX model for an unknown system. Wire data to the stimulus signal and response signal inputs to determine the polymorphic instance to use or manually select the instance.
SI Estimate BJ ModelEstimates the parameters of a Box-Jenkins (BJ) model for an unknown system. Wire data to the stimulus signal and response signal inputs to determine the polymorphic instance to use or manually select the instance.
SI Estimate General Linear ModelEstimates the parameters of a general-linear (GL) model for an unknown system. Wire data to the stimulus signal and response signal inputs to determine the polymorphic instance to use or manually select the instance.
SI Estimate OE ModelEstimates the parameters of an output-error (OE) model for an unknown system. Wire data to the stimulus signal and response signal inputs to determine the polymorphic instance to use or manually select the instance.
SI Estimate Orders of System ModelSearches the model of an unknown system for the optimal orders and delay.
SI Estimate State-Space ModelEstimates the parameters of a state-space model for an unknown system. You must manually select the polymorphic instance to use.
SI Estimate Transfer Function ModelEstimates the parameters of a continuous or discrete transfer function model for an unknown system. This VI estimates only the transfer function between the stimulus and the response. The transfer function between the noise and the response is assumed to be 1. You must manually select the polymorphic instance to use.
SI Estimate User-Defined ModelEstimates a user-defined model. Wire data to the stimulus signal and response signal inputs to determine the polymorphic instance to use or manually select the instance.
SI Model EstimationEstimates the mathematical model for an unknown system.
SI Transfer Function EstimationEstimates a discrete or continuous transfer function model for a SISO unknown system. For discrete models, this VI supports the direct, indirect, and joint input-output identification methods.

Log in to get a better experience