Simulate the response of a system to a given input

Provides functions for constructing mathematical models of dynamical systems from measured input-output data.

Suraj Yerramilli

sysid

System Identification in R

Arun Tangirala

sim function

<dl><dt>model</dt>
<dd>the linear system to simulate</dd>
<dt>input</dt>
<dd>a vector/matrix containing the input</dd>
<dt>addNoise</dt>
<dd>logical variable indicating whether to add noise to the 
response model. (Default: <code>FALSE</code>)</dd>
<dt>innov</dt>
<dd>an optional times series of innovations. If not supplied (specified
as <code>NULL</code>), gaussian white noise is generated, with the variance specified in 
the model (Property: <code>noiseVar</code>)</dd>
<dt>seed</dt>
<dd>integer indicating the seed value of the random number generator.
Useful for reproducibility purposes.</dd></dl>

Arguments

Simulate response of dynamic system — sim

<dl>

<dt>model</dt>
<dd>the linear system to simulate</dd>


<dt>input</dt>
<dd>a vector/matrix containing the input</dd>


<dt>addNoise</dt>
<dd>logical variable indicating whether to add noise to the 
response model. (Default: <code>FALSE</code>)</dd>


<dt>innov</dt>
<dd>an optional times series of innovations. If not supplied (specified
as <code>NULL</code>), gaussian white noise is generated, with the variance specified in 
the model (Property: <code>noiseVar</code>)</dd>


<dt>seed</dt>
<dd>integer indicating the seed value of the random number generator.
Useful for reproducibility purposes.</dd>

</dl>

sim: Simulate response of dynamic system

Description

Usage

Value

Arguments

Details

Examples