WOLFRAM SYSTEM MODELER

NormalDensity

Calculates the density of a normal distribution

Wolfram Language

In[1]:=
SystemModel["Modelica.Blocks.Examples.Noise.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.Noise.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.Noise

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

Revisions

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