Include MATLAB code in models that generate embeddable C code
Simulink / UserDefined Functions
HDL Coder / UserDefined Functions
With a MATLAB Function block, you can write a MATLAB^{®} function for use in a Simulink^{®} model. The MATLAB function you create executes for simulation and generates code for a Simulink Coder™ target. If you are new to the Simulink and MATLAB products, see Implementing MATLAB Functions Using Blocks and Create Custom Functionality Using MATLAB Function Block for an overview.
Doubleclicking the MATLAB Function block opens its editor, where you write the MATLAB function, as in this example:
To learn more about this editor, see MATLAB Function Block Editor.
You specify input and output data to the MATLAB Function block in the function header as arguments and return values. The argument and return values of the preceding example function correspond to the inputs and outputs of the block in the model:
You can also define data, input triggers, and function call outputs using the Ports and Data Manager, which you access from the MATLAB Function Block Editor by selecting Edit Data. See Ports and Data Manager.
The MATLAB Function block generates efficient embeddable code based on an analysis that determines the size, class, and complexity of each variable. This analysis imposes the following restrictions:
The first assignment to a variable defines its, size, class, and complexity.
See Best Practices for Defining Variables for C/C++ Code Generation.
You cannot reassign variable properties after the initial assignment except when using variablesize data or reusing variables in the code for different purposes.
In addition to language restrictions, the MATLAB Function block supports a subset of the functions available in MATLAB. A list of supported functions is given in Functions and Objects Supported for C/C++ Code Generation. These functions include functions in common categories, such as:
Note
Although the code for this block attempts to produce exactly the same results as
MATLAB, differences might occur due to rounding errors. These numerical
differences, which might be a few eps
initially, can magnify after
repeated operations. Reliance on the behavior of nan
is not
recommended. Different C compilers can yield different results for the same
computation.
Note
In the MATLAB Function block, the %#codegen
directive is included to emphasize that the block’s MATLAB algorithm is always intended for code generation. The
%#codegen
directive, or the absence of it, does not change
the error checking behavior in the context of the MATLAB Function
block. For more information see Compilation Directive %#codegen.
To support visualization of data, the MATLAB Function block supports calls to MATLAB functions for simulation only. See Use MATLAB Engine to Execute a Function Call in Generated Code to understand some of the limitations of this capability, and how it integrates with code analysis for this block. If these function calls do not directly affect any of the Simulink inputs or outputs, the calls do not appear in Simulink Coder generated code.
From MATLAB Function blocks, you can also call functions defined in a Simulink Function block. You can call Stateflow^{®} functions with Export Chart Level Functions (Make Global) and Allow exported functions to be called by Simulink checked in the chart Properties dialog box.
In the Ports and Data Manager, you can declare a block input to be a Simulink parameter instead of a port. The MATLAB Function block also supports inheritance of types and size for inputs, outputs, and parameters. You can also specify these properties explicitly. See Type Function Arguments, Size Function Arguments, and Add Parameter Arguments for descriptions of variables that you use in MATLAB Function blocks.
Recursive calls are not allowed in MATLAB Function blocks.
By default, MATLAB Function blocks have direct feedthrough enabled. To disable it, in the Ports and Data Manager, clear the Allow direct feedthrough check box. Nondirect feedthrough semantics ensure that outputs rely only on the current state. Using nondirect feedthrough enables you to use MATLAB Function blocks in a feedback loop and prevent algebraic loops. For more information, see Use Nondirect Feedthrough in a MATLAB Function Block.
Data Types 

Direct Feedthrough 

Multidimensional Signals 

VariableSize Signals 

ZeroCrossing Detection 

^{[a]} Actual data type or capability support depends on block implementation. 