MATLAB and Simulink Training

Course Details

This two-day course describes techniques for applying Model-Based Design in a common design workflow. It provides guidance on managing and sharing Simulink®在大型项目环境中工作时的模型。

Topics include:

  • Implementing interface control of Simulink subsystems and models
  • Managing requirements in Simulink models
  • 使用Simulink子系统,库和模型参考分区模型金宝app
  • Managing a model and all its dependencies
  • 解决模型可伸缩性和性能问题
  • Establishing and enforcing modeling standards
  • Documenting and sharing a Simulink model

Day 1 of 2


Model-Based Design

Objective:Get a brief overview of how Simulink models can be used in a traditional design process. Discuss where the material covered in this course fits into that process.

Requirements Linking and Interface Control

Objective:Link a Simulink model to system requirements, illustrate data flow, and define system interfaces.

  • Component stubs
  • Requirements linking
  • Component interfaces
  • Bus objects

Model Architecture

Objective:Discuss the pros and cons of the different features used for organizing a Simulink model into separate components.

  • System component considerations
  • 虚拟子系统
  • Atomic subsystems
  • Subsystem references
  • Model references
  • Component variants

项目管理

Objective:讨论如何有效组织项目(包含模型,数据,文档等)并执行配置管理任务。

  • Project setup
  • File shortcuts and labels
  • File dependencies and impact
  • Source control integration
  • 文件差异

Day 2 of 2


Data Management

Objective:Explore the data dependencies of a Simulink model and learn best practices for managing a Simulink model's data.

  • Workspace precedence
  • Parameter management
  • 保存和加载数据
  • Data dictionaries

Model Scalability

Objective:Understand data objects, partition data in dictionaries, create reference projects and configurations sets to organize large projects.

  • Data objects
  • Reference data dictionaries
  • Reference configuration sets
  • Data partitioning
  • Reference projects

Model Performance

Objective:了解如何提高模拟性能,使用加速模式并了解其权衡。

  • Simulink Profiler
  • Simulation modes
  • Comparing performance
  • Performance Advisor

建模标准

Objective:Explore how to set up and enforce modeling standards, check for common modeling errors, and optimize model performance.

  • Modeling standards
  • Model Advisor
  • Reporting results
  • Additional Simulink advisors
  • Templates

Reporting

Objective:Discuss the methods of automatically creating reports and documentation from Simulink models.

  • Web视图
  • Standard reports
  • Custom reports

Level:中间的

期间:2 days

语言:Deutsch, English, Español, Français, Italiano, 日本語, 한국어, 中文