ContinuousMeanCalculates the empirical expectation (mean) value of its input signal 
This information is part of the Modelica Standard Library maintained by the Modelica Association.
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 computation starts 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 examples UniformNoiseProperties and NormalNoiseProperties.
t_eps 
Value: 1e7 Type: Time (s) Description: Mean value calculation starts at startTime + t_eps 

u 
Type: RealInput Description: Noisy input signal 


y 
Type: RealOutput Description: Expectation (mean) value of the input signal 
Modelica.Blocks.Examples.NoiseExamples Demonstrates the computation of properties for uniformally distributed noise 

Modelica.Blocks.Examples.NoiseExamples Demonstrates the computation of properties for normally distributed noise 