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Inheriting Argument Data Types Built-In Data Types for Arguments |
You create function arguments for a MATLAB Function block by entering them in its function header in the MATLAB Function Block Editor. When you define arguments, the Simulink software creates corresponding ports on the MATLAB Function block that you can attach to signals. You can select a data type mode for each argument that you define for a MATLAB Function block. Each data type mode presents its own set of options for selecting a data type.
By default, the data type mode for MATLAB Function block function arguments is Inherited. This means that the function argument inherits its data type from the incoming or outgoing signal. To override the default type, you first choose a data type mode and then select a data type based on the mode. The following procedure describes how to use the Model Explorer to set data types for function arguments. You can also use the Ports and Data Manager tool (see Ports and Data Manager).
To specify the type of a MATLAB Function block function argument:
From the MATLAB Function Block Editor, select Tools > Model Explorer.
Model Explorer appears with the MATLAB Function block highlighted in the Model Hierarchy pane.
In the Contents pane (in the middle), click the row containing the argument of interest.
In the Data properties
dialog (on the right), click the Show data type assistant button
to display the Data Type
Assistant. Then, choose an option from the Mode drop-down
menu, as shown:

The Data properties dialog changes dynamically to display additional fields for specifying the data type associated with the mode.
Based on the mode you select, specify a desired data type:
| Mode | What to Specify | |
|---|---|---|
| Inherit (default) | You cannot specify a value. The data type is inherited from
previously-defined data, based on the scope you selected for the MATLAB
Function block function argument:
| |
| Built in | In the Data type field, select from the drop-down list of supported data types, as described in Built-In Data Types for Arguments. | |
| Fixed point | Specify the fixed-point data properties as described in Specifying Simulink Fixed Point Data Properties. | |
| Expression | Enter an expression that evaluates to a data type, as described in Specifying Argument Types with Expressions. | |
| Bus Object | In the Bus object field, enter the name
of a Simulink.Bus object to define the properties
of a MATLAB structure. You must define the bus object in the
base workspace. See Working with Structures and Bus Signals.
|
MATLAB Function block function arguments can inherit their data types, including fixed point types, from the signals to which they are connected. Select the argument of interest in the Contents pane of the Model Explorer or Ports and Data Manager, and set data type mode using one of these methods:
In the Data properties dialog, select Inherit: Same as Simulink from the Type drop-down menu.
In the Contents pane, set the Data Type column to Inherit: Same as Simulink.
See Built-In Data Types for Arguments for a list of supported data types.
Note An argument can also inherit its complexity (whether its value is a real or complex number) from the signal that is connected to it. To inherit complexity, set the Complexity field on the Data properties dialog to Inherited. |
Once you build the model, the Compiled Type column of the Model Explorer or Ports and Data Manager gives the actual type used in the compiled simulation application.
In the following figure, a MATLAB Function block argument inherits its data type from an input signal of type double:

The inherited type of output data is inferred from diagram actions that store values in the specified output. In the preceding example, the variables mean and stdev are computed from operations with double operands, which yield results of type double. If the expected type matches the inferred type, inheritance is successful. In all other cases, a mismatch occurs during build time.
Note Library MATLAB Function blocks can have inherited data types, sizes, and complexities like ordinary MATLAB Function blocks. However, all instances of the library block in a given model must have inputs with the same properties. |
When you select Built-in for Data type mode, the Data properties dialog displays a Data type field that provides a drop-down list of supported data types. You can also choose a data type from the Data Type column in the Contents pane of the Model Explorer or Ports and Data Manager. The supported data types are:
| Data Type | Description |
|---|---|
double | 64-bit double-precision floating point |
single | 32-bit single-precision floating point |
int32 | 32-bit signed integer |
int16 | 16-bit signed integer |
int8 | 8-bit signed integer |
uint32 | 32-bit unsigned integer |
uint16 | 16-bit unsigned integer |
uint8 | 8-bit unsigned integer |
boolean | Boolean (1 = true; 0 = false) |
You can specify the types of MATLAB Function block function arguments as expressions in the Model Explorer or Ports and Data Manager. Follow these steps:
Select <data type expression> from the Type drop-down menu of the Data properties dialog.
In the Type field, replace "<data type expression>" with an expression that evaluates to a data type. The following expressions are allowed:
Alias type from the MATLAB workspace, as described in Creating a Data Type Alias in the Simulink reference documentation.
fixdt function to create a Simulink.NumericType object describing a fixed-point or floating-point data type
type operator, to base the type on previously defined data
In the following figure, the data type of input argument data1 is int32. The data type of input argument data2 is based on data1 using the expression type(data1).
When the model is compiled, the actual type of data2 appears in the Compiled Type column in the Contents pane:

MATLAB Function blocks can represent signals and parameter values as fixed-point numbers. To simulate models that use fixed-point data in MATLAB Function blocks, you must install the Simulink Fixed Point product on your system (see Product Overview in the Simulink Fixed Point documentation).
When you select the Fixed point data type Mode, the Data Type Assistant displays fields for additional information about your fixed-point data, as in this example:

You can set the following fixed-point properties:
Signedness. Select whether you want the fixed-point data to be Signed or Unsigned. Signed data can represent positive and negative quantities. Unsigned data represents positive values only. The default is Signed.
Word length. Specify the size (in bits) of the word that will hold the quantized integer. Large word sizes represent large quantities with greater precision than small word sizes. Word length can be any integer between 0 and 128 bits. The default is 16.
Scaling. Specify the method for scaling your fixed point data to avoid overflow conditions and minimize quantization errors. You can select the following scaling modes:
| Scaling Mode | Description |
|---|---|
| Binary point (default) | If you select this mode, the Data Type Assistant displays the Fraction Length field, specifying the binary point location. Binary points can be positive or negative integers. A positive integer moves the binary point left of the rightmost bit by that amount. For example, an entry of 2 sets the binary point in front of the second bit from the right. A negative integer moves the binary point further right of the rightmost bit by that amount, as in this example:
The default is 0. |
| Slope and bias | If you select this mode, the Data Type Assistant displays fields for entering the Slope and Bias.
You can enter slope and bias as expressions that contain parameters defined in the MATLAB workspace. |
Note You should use binary-point scaling whenever possible to simplify the implementation of fixed-point data in generated code. Operations with fixed-point data using binary-point scaling are performed with simple bit shifts and eliminate the expensive code implementations required for separate slope and bias values. |
Data type override. Specify whether the data type override setting is Inherit (default) or Off.
Calculate Best-Precision Scaling. The Simulink software can automatically calculate "best-precision" values for both Binary point and Slope and bias scaling, based on the Limit range properties you specify on the Value Attributes tab.
To automatically calculate best precision scaling values:
Select the Value Attributes tab.
Specify Minimum, Maximum, or both Limit range properties.
Select the General tab.
Click Calculate Best-Precision Scaling.
The Simulink software calculates the scaling values, then displays them in either the Fraction Length, or Slope and Bias fields.
Note The Limit range properties do not apply to Constant or Parameter scopes. Therefore, Simulink cannot calculate best-precision scaling for these scopes. |
Fixed-point Details. You can view the following Fixed-point details:
| Fixed-point Detail | Description |
|---|---|
| Representable maximum | The maximum number that can be represented by the chosen data type, sign, word length and fraction length (or data type, sign, slope and bias). |
| Maximum | The maximum value specified on the Value Attributes tab. |
| Minimum | The minimum value specified on the Value Attributes tab. |
| Representable minimum | The minimum number that can be represented by the chosen data type, sign, word length and fraction length (or data type, sign, slope and bias). |
| Precision | The precision for the given word length and fraction length (or slope and bias). |
Lock data type setting against changes by the fixed-point tools. Specify whether you want to prevent replacement of the current data type with a type chosen by the Fixed-Point Tool or Fixed-Point Advisor. The default setting allows replacement. See Scaling in the Simulink Fixed Point documentation for instructions on autoscaling fixed-point data.
If you set the Data Type Override mode to Double or Single in Simulink, the MATLAB Function block sets the type of all inherited input signals and parameters to fi double or fi single objects respectively (see Using the MATLAB Function Block with Data Type Override in the Fixed-Point Toolbox User's Guide for more information). You must check the data types of your inherited input signals and parameters and use the Ports and Data Manager (see Ports and Data Manager) to set explicit types for any inputs that should not be fixed-point. Some operations, such as sin, are not applicable to fixed-point objects.
Note If you do not set the correct input types explicitly, you may encounter compilation problems after setting Data Type Override. |
How Do I Set Data Type Override?
![]() | Working with MATLAB Function Reports | Sizing Function Arguments | ![]() |

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