PS Random Number
Generate normally distributed random numbers for physical modeling
Simscape / Foundation Library / Physical Signals / Sources
The PS Random Number block generates normally (Gaussian) distributed random numbers. To generate uniformly distributed random numbers, use the PS Uniform Random Number block.
You have an option to specify an initial time offset as part of the Sample
time parameter. In this case, the block outputs 0 until the simulation time
offset value, at which point the random sequence
PS Random Number blocks that use the same seed and parameters generate a repeatable sequence. The seed resets to the specified value each time a simulation starts. By default, the block produces a sequence that has a mean of 0 and a variance of 1.
Y — Output physical signal, unitless
Output physical signal.
Mean — Mean of the random numbers
The mean of the random numbers generated by the block.
Variance — Variance of the random numbers
The variance of the random numbers generated by the block.
Seed — Starting seed
The starting seed for the random number generator. Output is repeatable for a given seed. The seed must be an integer in the range of 0 to (2^32 – 1).
Sample time — Sample time interval
1 s (default)
The value of the time
step interval. The default
step value is
1 s. To specify an initial
time offset, enter the parameter value as
[, otherwise the
offset value is assumed to be
offset must be less than the step size.
 Bell, J. R. “Algorithm 334: Normal random deviates.” Communications of the ACM. Vol. 11, Number 7, 1968, p. 498.
 Knop, R. “Remark on Algorithm 334 [G5]: normal random deviates.” Communications of the ACM. Vol. 12, Number 5, 1969, p. 281.
C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.
Version HistoryIntroduced in R2013a
R2019a: Unit Propagation
Prior to R2019a, this block did not propagate physical units.
If your model contains legacy blocks without unit propagation, use the Upgrade Advisor to upgrade your blocks to the latest version. For more information, see Upgrading Models with Legacy Physical Signal Blocks.