Polynomial Model Estimation VIs
Owning Palette: Parametric Model Estimation VIs
Installed With: 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 Polynomial Model Estimation VIs to estimate an AR, ARX,ARMAX, Box-Jenkins, or output-error 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 Object | Description |
|---|---|
| SI Estimate AR Model | Estimates 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 Model | Estimates 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 Model | Estimates 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 Model | Estimates 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 Model | Estimates 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 Model | Estimates 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. |