PS Uniform Random Number

Generate uniformly distributed random numbers for physical modeling

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Libraries:
Simscape / Foundation Library / Physical Signals / Sources

Description

The PS Random Number block generates uniformly distributed random numbers over the interval you specify. To generate normally (Gaussian) distributed random numbers, use the PS Random Number block.

The block behavior is the same as the Simulink^® Uniform Random Number block (except that it generates a physical signal rather than a Simulink signal).

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 reaches the offset value, at which point the random sequence starts.

PS Uniform 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.

Ports

Output

Y — Output physical signal, unitless

physical signal

Output physical signal.

Parameters

Minimum — Minimum output value

0 (default)

The minimum output value generated by the block.

Maximum — Maximum output value

1 (default)

The maximum output value generated by the block.

Seed — Starting seed

0 (default)

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 [step, offset], otherwise the offset value is assumed to be 0. The offset must be less than the step size.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

Version History

Introduced 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.