NormalNoiseNoise generator with normal distribution |
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Information
This information is part of the Modelica Standard Library maintained by the Modelica Association.
A summary of the common properties of the noise blocks is provided in the documentation of package Blocks.Noise. This NormalNoise block generates reproducible, random noise at its output according to a normal distribution. This means that random values are normally distributed with expectation value mu and standard deviation sigma. (see example NoiseExamples.NormalNoiseProperties). By default, two or more instances produce different, uncorrelated noise at the same time instant. The block can only be used if on the same or a higher hierarchical level, model Blocks.Noise.GlobalSeed is dragged to provide global settings for all instances.
Parameters (10)
| samplePeriod |
Value: Type: Period (s) Description: Period for sampling the raw random numbers |
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| enableNoise |
Value: globalSeed.enableNoise Type: Boolean Description: =true: y = noise, otherwise y = y_off |
| y_off |
Value: 0.0 Type: Real Description: y = y_off if enableNoise=false (or time |
| useGlobalSeed |
Value: true Type: Boolean Description: = true: use global seed, otherwise ignore it |
| useAutomaticLocalSeed |
Value: true Type: Boolean Description: = true: use automatic local seed, otherwise use fixedLocalSeed |
| fixedLocalSeed |
Value: 1 Type: Integer Description: Local seed (any Integer number) |
| startTime |
Value: 0.0 Type: Time (s) Description: Start time for sampling the raw random numbers |
| localSeed |
Value: Type: Integer Description: The actual localSeed |
| mu |
Value: 0 Type: Real Description: Expectation (mean) value of the normal distribution |
| sigma |
Value: Type: Real Description: Standard deviation of the normal distribution |
Connectors (1)
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y |
Type: RealOutput Description: Connector of Real output signal |
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Components (1)
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globalSeed |
Type: GlobalSeed Description: Definition of global seed via inner/outer |
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Used in Examples (1)
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Modelica.Blocks.Examples.NoiseExamples Demonstrates the computation of properties for normally distributed noise |