This model shows ASAP2 data export. ASAP2 is a data definition standard proposed by the Association for Standardization of Automation and Measuring Systems (ASAM).
When you use a MATLAB® structure to specify initialization values for the signal elements in a bus, you can create a tunable global structure in the generated code.
Stateflow and MATLAB Coder can fully define their data definitions, or they can inherit them from Simulink. Data definition capabilities include:
This model illustrates the target-based C API for interfacing signals, parameters, and states in the generated code.
Configure an atomic subsystem for code generation. To specify that a subsystem's code executes as an atomic unit, select the Treat as atomic unit parameter on the block parameters dialog
Generate and optimize the code for a fixed-point air-fuel ratio control system designed with Simulink® and Stateflow®. For a detailed explanation of the model, see sldemo_fuelsys and
You can represent initial conditions for signals and states by creating tunable global variables in the generated code. These variables allow you to restart an application by using initial
How referenced models provide system interface encapsulation and incremental code generation. You can reference one model from another model (one or more times), and all aspects of the
As you iteratively develop a model, you capture output signal and state data that model execution generates. You also tune parameter values during execution to observe the effect on the
Create tunable parameter data by representing block parameters as global variables in the generated code.
When you use a Simulink.Parameter object or a numeric MATLAB variable to set two or more block parameter values, if the block parameters have different data types, you must explicitly
Create and name a fixed-point data type in generated code. You can use the name of the type to specify parameter and signal data types throughout a model and in generated code.
Generate code that interfaces with legacy code by using specialized get and set functions to access data.
Associate subsystems in a model with function names and files.
How the generated code stores internal data such as block states.
Configure the generated code to use a data type name (typedef) that you specify.
Apply the custom storage class GetSet to nonvirtual bus signals and structure parameters in a model.
Apply storage classes to a signal, a block state, and a block parameter in a model.
To integrate the generated code with your own external code, you can configure data items in a model, such as signal lines and block parameters, to appear in the generated code as global
Customize the interface of C++ code that you generate from a model and want to call from C or C++ code. To call the C++ code from C code, you encapsulate the C++ class interface in the generated
Configure a model so that the code generator produces a custom interface for the step (execution) entry-point function.
How the generated code initializes signal, state, and parameter data.
This model shows user-defined types, consisting of numeric and alias types. Numeric types allow you to define abstract numeric types, which is particularly useful for fixed-point types.
Apply the custom storage class GetSet to signals and parameters that are vectors.
Apply the custom storage class GetSet to signals and parameters that are matrices.
How Simulink selects a vector or a 2-D matrix from table data. In a 2-D table, the output vector can be a column or a row depending on the model configuration setting Use algorithms optimized for
Illustrates the interpolation algorithm in 2-D and 3-D Lookup Table that is optimized for row-major array layout. The interpolation algorithm that is optimized for column-major array
Illustrates the algorithm for interpolating a subtable that the interpolation block selects from a higher dimension table. The interpolation algorithm with subtable selection is