Random Number
Generator of normally distributed random numbers.
Description
The Random Number block generates normally distributed random numbers. To generate uniformly distributed random numbers, use the Uniform Random Number block. Both blocks use a normal (Gaussian) random number generator.
The generated sequence can be repeated if you use the Random Number block with the same non-negative initial number and parameters. The initial value is reset to the specified value each time the simulation starts. By default, the block generates a sequence with mean 0 and variance 1. To generate a vector of random numbers with the same mean and variance, set the Seed parameter as vector.
Avoid integrating the random signal because solvers must integrate relatively smooth signals. Instead, use the block Band-Limited White Noise.
The numerical parameters of this block must have the same dimensionality (after expanding the scalars).
Parameters
Mean - average value of random numbers
0 (by default) | scalar
Sets the average value of generated random numbers.
Block parameter |
|
Value |
|
By default |
|
Variance - variance of random numbers
1 (by default) | scalar
Sets the variance of generated random numbers.
Block parameter |
|
Variance |
|
By default |
|
Seed - initial number
0 (by default) | `positive number `
Initial number for the random number generator.
The output sequence is uniquely determined by the starting number.
Block parameter |
|
Value |
|
By default |
|
Sample time - interval between calculation steps
0.1 (By default)
Specify the interval between calculation steps as a non-negative number. To inherit a calculation step, set this parameter to -1.
By default the value is 0.1, which corresponds to the default calculation step of the block Band-Limited White Noise.
Block parameter |
|
Value |
|
By default |
|