Uniform Random Number

Generate uniformly distributed random numbers

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Libraries:
Simulink / Sources

Description

The Uniform Random Number block generates uniformly distributed random numbers over an interval that you specify. To generate normally distributed random numbers, use the Random Number block. Both blocks use the Normal (Gaussian) random number generator ('v4': legacy MATLAB^® 4.0 generator of the rng function).

You can generate a repeatable sequence using any Uniform Random Number block with the same nonnegative seed and parameters. The seed resets to the specified value each time a simulation starts.

Avoid integrating a random signal, because solvers must integrate relatively smooth signals. Instead, use the Band-Limited White Noise block.

The numeric parameters of this block must have the same dimensions after scalar expansion. If you select the Interpret vector parameters as 1-D check box and the numeric parameters are row or column vectors after scalar expansion, the block outputs a 1-D signal. If you clear the Interpret vector parameters as 1-D check box, the block outputs a signal of the same dimensionality as the parameters.

Examples

Illustration of Law of Large Numbers

Use MATLAB System blocks to illustrate the law of large numbers.

• Open Model

Ports

Output

Port_1 — Random number output signal

scalar | vector

Output signal of generated uniformly distributed random numbers over the interval you specify.

Data Types: double

Parameters

Minimum — Minimum interval

0 (default) | scalar | vector | matrix | N-D array

Specify the minimum of the interval.

Programmatic Use

Block Parameter: Minimum

Type: character vector

Values: scalar

Default: '-1'

Maximum — Maximum interval

0 (default) | scalar | vector | matrix | N-D array

Specify the maximum of the interval.

Programmatic Use

Block Parameter: Maximum

Type: character vector

Values: scalar

Default: '1'

Seed — Random number seed

0 (default) | scalar | vector | matrix | N-D array

Specify the starting seed for the random number generator.

The seed must be 0 or a positive integer. Output is repeatable for a given seed.

Programmatic Use

Block Parameter: Seed

Type: character vector

Values: scalar

Default: '0'

Sample time — Sample time

0.1 (default) | scalar

Specify the time interval between samples. See Specify Sample Time for more information.

Programmatic Use

Block Parameter: SampleTime

Type: character vector

Values: scalar

Default: '0.1'

Interpret vector parameters as 1-D — Treat vectors as 1-D

on (default) | off

Select this check box to output a vector of length N if the Constant value parameter evaluates to an N-element row or column vector.

• When you select this check box, the block outputs a vector of length N if the Constant value parameter evaluates to an N-element row or column vector. For example, the block outputs a matrix of dimension 1-by-N or N-by-1.

• When you clear this check box, the block does not output a vector of length N if the Constant value parameter evaluates to an N-element row or column vector.

Programmatic Use

Block Parameter: VectorParams1D

Type: character vector

Values: 'on' | 'off'

Default: 'on'

Block Characteristics

Data Types	double
Direct Feedthrough	no
Multidimensional Signals	yes
Variable-Size Signals	no
Zero-Crossing Detection	no

Extended Capabilities

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

Version History

Introduced before R2006a