Parametric Model Estimation VIs
Owning Palette: System Identification 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 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 Object | Description |
|---|---|
| SI Estimate Orders of System Model | Searches the model of an unknown system for the optimal orders and delay. |
| SI Estimate State-Space Model | Estimates the parameters of a state-space (SS) model for an unknown system. You must manually select the polymorphic instance to use. |
| SI Estimate Transfer Function Model | Estimates 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 Model | Estimates 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 Estimation | Estimates the mathematical model for an unknown system. |
| SI Transfer Function Estimation | Estimates 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. |
| Subpalette | Description |
|---|---|
| Polynomial Model Estimation VIs | 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. |