Data Representation in Generated Code
R2026bCustomize data representation to ease integration with external code and
support interactivity and instrumentation
Signals, states, and block parameters that you create in a model appear in the generated code as variables. Control the way that the code declares and defines these variables.
Generate efficient code by reducing memory usage and specifying numeric data types. Control the naming, definition, and usage of data types.
Ease the integration of the generated code with your own code by specifying identifiers and file placement of declarations and definitions.
Manage access to signal data and specify parameter tunability.
Package signal and parameter data into structures.
Improve code readability and traceability.
Topics
Storage in the Generated Code
- How Generated Code Stores Internal Signal, State, and Parameter Data
To calculate output data from input data, the generated code must store some internal data in memory, such as block state data and nonscalar parameter data. - Data Structures in Generated Code
The code generator uses data structures in the generated code to describe the model fully and store data, such as signal and states. - Data Stores in Generated Code
Use a data store to explicitly model a piece of shared global data in the generated code. - Parameter Data Types in Generated Code
Optimize the generated code and generate code for specific processors by controlling the data types that store parameter data in computer memory. - Generate Local Variables with Localizable Storage Class
For signals, if possible, generate variables that are local to functions rather than in global storage. - Share Data Between Code Generated from Simulink, Stateflow, and MATLAB
Define data shared between Simulink, Stateflow, and MATLAB. - Air-Fuel Ratio Control System with Fixed-Point Data
Optimize the code generated for an air-fuel ratio control system by using fixed-point data types. - Finely Control Data Representation by Writing TLC Code for a Storage Class
For advanced control of data representation in the generated code, create custom storage classes by writing TLC code.
Array Layout
- Code Generation of Matrices and Arrays
Work with code that the code generator produces for matrices and arrays. - Generate Row-Major Code for S-Functions
Enable existing S-functions for row-major code generation by specifying the array layout. - Generate Row-Major Code for Model That Contains a MATLAB Function Block
Usecoder.rowMajorinside the MATLAB Function block to generate row-major code. - Column-Major Layout to Row-Major Layout Conversion of Models with Lookup Table Blocks
Convert existing column-major model to row-major for code generation. - Row-Major Algorithms for Row-Major Array Layout
Generate code by using the row-major and column-major algorithms for row-major array layout. - Interpolation Algorithm for Row-Major Array Layout
Simulate and generate code by using the interpolation algorithm for row-major and column-major array layout. - Interpolation with Subtable Selection Algorithm for Row-Major Array Layout
Simulate and generate code by using the interpolation with subtable selection algorithm for row-major and column-major array layout. - Direct Lookup Table Algorithm for Row-Major Array Layout
Simulate and generate code by using the Direct Lookup Table algorithm for row-major and column-major array layout. - Dimension Preservation of Multidimensional Arrays
Preserve dimensions of multidimensional arrays in generated code. - Preserve Dimensions of Multidimensional Arrays in Generated Code
Preserve array dimensions for model data elements. - Preserve Dimensions of Bus Elements in Generated Code
Preserve array dimensions for bus elements.
Variable-Size Data
- Variable-Size Signals in Generated Code
Memory allocation for variable-size signals and variable-size arrays in MATLAB Function blocks. - Use Dynamic Memory Allocation for Unbounded Variable-Size Signals in C++ Code Generation
Generate C++ code that uses dynamic memory allocation for unbounded variable-size signals. - Generate C++ Code for Export-Function Models That Process Unbounded Variable-Size Data
Generate C++ code from an export-function model that processes unbounded variable-size data and integrate the generated code with custom code.
Named and Custom Data Types
- Manage Replacement of Simulink Data Types in Generated Code
Control the names of primitive, structure, and enumerated data types in the generated code. - Organize Data into Structures in Generated Code
Create structures of signal, state, and parameter data in the generated code. - Use Enumerated Data in Generated Code
Enumerated data is data that is restricted to a finite set of values. Create enumerations in the generated code. - Control File Placement of Custom Data Types
Integrate the generated code with your own code by placingtypedefstatements in generated and imported files. - Specify Boolean and Data Type Limit Identifiers
Integrate the generated code with your code by specifying the identifiers that correspond to Booleanfalseandtrue. Also, specify the identifiers that correspond to data type limits, which the generated code uses to determine overflows.
Related Information
Featured Examples
Air-Fuel Ratio Control System with Fixed-Point Data
Optimize the code generated for an air-fuel ratio control system by using fixed-point data types.
