ContinuousMean
Calculates the empirical expectation (mean) value of its input signal
Library
Modelica/Blocks/Math
Description
This block continuously calculates the mean value of its input signal. It uses the function:
integral( u over time)y = ------------------------ time - startTime
This can be used to determine the empirical expectation value of a random signal, such as generated by the Noise blocks.
The parameter t_eps is used to guard against division by zero (the mean value computationstarts at <simulation start time> + t_eps and before that time instant y = u).
See also the Mean block for a sampled implementation.
This block is demonstrated in the examplesUniformNoiseProperties andNormalNoiseProperties.
Parameters
| Name | Label | Description | Data Type | Valid Values |
|---|---|---|---|---|
mo_t_eps | t_eps | Mean value calculation starts at startTime + t_eps | Scalar | |
mo_t_0 | t_0 | Start time | Scalar |
| Name | Label | Description | Data Type | Valid Values |
|---|---|---|---|---|
mo__nmodifiers | Number of Modifiers | Specifies the number of modifiers | Number | |
mo__modifiers | Modifiers | Add new modifier | Structure | |
mo__modifiers/varname | Variable name | Cell of strings | 'mu' | |
mo__modifiers/attribute | Attribute | Cell of strings | 'start' | |
mo__modifiers/value | Value |
Ports
| Name | Type | Description | IO Type | Number |
|---|---|---|---|---|
u | implicit | Noisy input signal | input | 1 |
y | implicit | Expectation (mean) value of the input signal | output | 1 |