WOLFRAM SYSTEMMODELER

Distributions

Demonstrates noise with different types of distributions

Diagram

Wolfram Language

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SystemModel["Modelica.Blocks.Examples.NoiseExamples.Distributions"]
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Information

This information is part of the Modelica Standard Library maintained by the Modelica Association.

This example demonstrates different noise distributions methods that can be selected for a Noise block. Both noise blocks use samplePeriod = 0.02 s, y_min=-1, y_max=3, and have identical fixedLocalSeed. This means that the same random numbers are drawn for the blocks. However, the random numbers are differently transformed according to the selected distributions (uniform and truncated normal distribution), and therefore the blocks have different output values. Simulation results are shown in the next diagram:

As can be seen, uniform noise is distributed evenly between -1 and 3, and truncated normal distribution has more values centered around the mean value 1.

Parameters (3)

samplePeriod

Value: 0.02

Type: Period (s)

Description: Sample period of all blocks

y_min

Value: -1

Type: Real

Description: Minimum value of band for random values

y_max

Value: 3

Type: Real

Description: Maximum value of band for random values

Outputs (2)

uniformNoise_y

Default Value: uniformNoise.y

Type: Real

truncatedNormalNoise_y

Default Value: truncatedNormalNoise.y

Type: Real

Components (3)

globalSeed

Type: GlobalSeed

uniformNoise

Type: UniformNoise

truncatedNormalNoise

Type: TruncatedNormalNoise