MATLAB & Simulink

EMBEDDED SYSTEMS AND FPGA DESIGN

Testing Generated Code in Simulink

Course Highlights

This is a one-day course that provides a working introduction to designing and testing embedded applications with Simulink® Coder™ and Embedded Coder®. Themes of simulation speedup, parameter tuning in the deployed application, structure of embedded code, code verification, and execution profiling are explored in the context of model-based design. Topics include:

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• Simulation Speedup with Code Generation

• Parameter Tuning with External Mode

• Code Generation

• In-the-Loop Verification

• Code Execution Profiling

Prerequisite

Working experience with Simulink is compulsory. Simulink® for System and Algorithm Modeling (or Simulink for Automotive System Design) can be taken to satisfy the prerequisite. Knowledge of C programming language is strongly recommended to learners who want to benefit from code inspection.

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Course Outline

Day 1 of 1

Simulation Speedup with Code Generation

Objective: Speedup the simulation of your Simulink models and perform Monte Carlo simulations using the code generation features in Simulink.

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• Normal simulation mode

• Accelerator mode

• Rapid Accelerator mode

• Standalone rapid simulation (Rsim)

• Simulation speed comparison and tradeoffs

• Monte Carlo simulation with Rsim target

Parameter Tuning with External Mode

Objective: Tune parameters in the embedded application using the External mode feature in Embedded Coder.

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• External mode workflow

• Parameter tuning in External mode

• External mode considerations

Code Generation

Objective: Generate code for algorithm implementation and integrate the code with an execution harness or legacy code.

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• Generating Generic Real-Time (GRT) code from a model

• Verifying GRT code

• Generating Embedded Real-Time (ERT) code from a model

• ERT code modules and entry points

• Calling model entry points

• Integrating external code

In-the-Loop Verification

Objective: Verify generated code using Simulink Coder and Embedded Coder.

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• Generating an S-function from a subsystem

• Software-in-the-loop (SIL) verification

• Processor-in-the-loop (PIL) verification

• Verifying a subsystem using SIL and PIL

• Verifying an entire model using SIL and PIL

• Legacy code and verification

Code Execution Profiling

Objective: Profile execution times in generated code using Embedded Coder.

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• Code execution profiling for a subsystem

• Selective profiling

• Code execution profiling for an entire model

• Applications of code execution profiling