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Estimate Hammerstein-Wiener model

refines
or estimates the parameters of a Hammerstein-Wiener model, `sys`

= nlhw(`Data`

,`sys0`

)`sys0`

,
using the estimation data.

Use this syntax to:

Update the parameters of a previously estimated model to improve the fit to the estimation data. In this case, the estimation algorithm uses the parameters of

`sys0`

as initial guesses.Estimate the parameters of a model previously created using the

`idnlhw`

constructor. Prior to estimation, you can configure the model properties using dot notation.

`aic`

| `customnet`

| `deadzone`

| `fpe`

| `goodnessOfFit`

| `idnlhw`

| `idnlhw/findop`

| `init`

| `linapp`

| `linearize`

| `n4sid`

| `nlhwOptions`

| `oe`

| `pem`

| `poly1d`

| `pwlinear`

| `saturation`

| `sigmoidnet`

| `tfest`

| `unitgain`

| `wavenet`

- Estimate Multiple Hammerstein-Wiener Models
- Estimate Hammerstein-Wiener Models Initialized Using Linear OE Models
- Identifying Hammerstein-Wiener Models
- Initialize Hammerstein-Wiener Estimation Using Linear Model
- Loss Function and Model Quality Metrics
- Regularized Estimates of Model Parameters
- Estimation Report