Course Schedule

Prerequisites

Simulink Fundamentals (or Simulink Fundamentals for Automotive Applications or Simulink Fundamentals for Aerospace Applications). Knowledge of C programming language.

Embedded Coder for Production Code Generation

This hands-on, three-day course focuses on developing models in the Simulink^® environment to deploy on embedded systems. The course is designed for Simulink users who intend to generate, validate, and deploy embedded code using Embedded Coder^®.

Topics include:

Generated code structure and execution
Code generation options and optimizations
Integrating generated code with external code
Generating code for multirate systems
Customizing generated code
Customizing data
Deploying code

See detailed course outline

Prerequisites

Simulink Fundamentals (or Simulink Fundamentals for Automotive Applications or Simulink Fundamentals for Aerospace Applications). Knowledge of C programming language.

Day 1 of 3
Generating Embedded Code	Objective: Configure Simulink models for embedded code generation and effectively interpret the generated code. Architecture of an embedded application System specification Generating code Code modules Logging intermediate signals Data structures in generated code Validating generated code Embedded Coder^® build process
Optimizing Generated Code	Objective: Identify the requirements of the application at hand and configure optimization settings to satisfy these requirements. Optimization considerations Removing unnecessary code Removing unnecessary data support Optimizing data storage Profiling generated code Code generation objectives
Integrating Generated Code with External Code	Objective: Modify models and files to run generated code and external code together. External code integration overview Model entry points Creating an execution harness Integrating generated code into an external project Controlling code destination Packaging generated code
Controlling Function Prototypes	Objective: Customize function prototypes of model entry points in the generated code. Default model function prototype Modifying function prototypes Generated code with modified function prototypes Model function prototype considerations Reusable function interface Function defaults

Day 2 of 3
Customizing Data Characteristics in Simulink^®	Objective: Control the data types and storage classes of data in Simulink. Data characteristics Data type classification Simulink data type configuration Setting signal storage classes Setting state storage classes Impact of storage classes on symbols
Customizing Data Characteristics Using Data Objects	Objective: Control the data types and storage classes of data using data objects. Simulink^® data objects overview Controlling data types with data objects Creating reconfigurable data types Controlling storage classes with data objects Controlling data type and variable names Data dictionaries
Creating Storage Classes	Objective: Design storage classes and use them for code generation. User-defined storage classes Creating storage classes Using user-defined storage classes Sharing user code definitions
Customizing Generated Code Architecture	Objective: Control the architecture of the generated code according to application requirements. Simulink model architecture Controlling code partitioning Generating reusable subsystem code Generating variant components Code placement options
Model Referencing and Bus Objects	Objective: Control the data type and storage class of bus objects and use them for generating code from models that reference other models. Creating reusable model references Controlling data type of bus signals Controlling storage class of bus signals Model Reference software testing

Day 3 of 3
Scheduling Generated Code Execution	Objective: Generate code for multirate systems in single-tasking, multitasking, and function call-driven configurations. Execution schemes for single-rate and multirate systems Generated code for single-rate models Multirate single-tasking code Multirate multitasking code Generating exported functions
Testing Generated Code on Target Hardware	Objective: Use processor-in-the-loop (PIL) simulation to validate, profile, and optimize the generated code on target hardware. Hardware support overview Arduino setup Validating generated code on target Target optimization overview Profiling generated code on target Using code replacement libraries Creating code replacement tables
Deploying Generated Code	Objective: Create a working real-time application on an Arduino^® board using provided hardware support. Embedded application architecture Creating a deployment harness Using device driver blocks Running a real-time application External mode
Integrating Device Drivers	Objective: Generate custom blocks to integrate device drivers with Simulink and generated code. Device drivers overview Using Legacy Code Tool Customizing device driver components Developing a device driver block for Arduino
Improving Code Efficiency and Compliance	Objective: Inspect the efficiency of generated code and verify compliance with standards and guidelines. Model Advisor Hardware implementation parameters Compliance with standards and guidelines

Guaranteed to Run

When you register for one of these courses, you can rely on the fact that it won't be canceled or rescheduled for any reason.

MATLAB and Simulink Course Schedule

There are currently no scheduled classes for this course.