Note: This page has been translated by MathWorks. Please click here

To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

Simulate response of identified model

`sim(___)`

plots the simulated
response of the identified model.

Use

`simsd`

for a Monte-Carlo method of computing the standard deviation of the response.`sim`

extends`lsim`

to facilitate additional features relevant to identified models:Simulation of nonlinear models

Simulation with additive noise

Incorporation of signal offsets

Computation of response standard deviation (linear models only)

Frequency-domain simulation (linear models only)

Simulations using different intersample behavior for different inputs

To obtain the simulated response without any of the preceding operations, use

`lsim`

.

`compare`

| `findstates`

| `forecast`

| `idinput`

| `lsim`

| `predict`

| `simOptions`

| `simsd`

| `step`

Was this topic helpful?