WOLFRAM SYSTEM MODELER

NormalDensity

Calculates the density of a normal distribution

Wolfram Language

In[1]:=
SystemModel["Modelica.Blocks.Examples.NoiseExamples.Utilities.NormalDensity"]
Out[1]:=

Information

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

This block determines the probability density y of a normal distribution for the given input signal u (for details of this density function see Math.Distributions.Normal.density).

This block is demonstrated in the example Examples.NoiseExamples.Densities .

Parameters (2)

mu

Value:

Type: Real

Description: Expectation (mean) value of the normal distribution

sigma

Value:

Type: Real

Description: Standard deviation of the normal distribution

Connectors (2)

u

Type: RealInput

Description: Real input signal

y

Type: RealOutput

Description: Density of the input signal according to the normal probability density function

Used in Examples (1)

Densities

Modelica.Blocks.Examples.NoiseExamples

Demonstrates how to compute distribution densities (= Probability Density Function)

Revisions

Date Description
June 22, 2015
Initial version implemented by A. Klöckner, F. v.d. Linden, D. Zimmer, M. Otter.
DLR Institute of System Dynamics and Control