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`

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