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Simulink Model Management and Architecture

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^® models when working in a large-scale project environment.

Topics include:

Implementing interface control of Simulink subsystems and models
Managing requirements in Simulink models
Partitioning models using Simulink subsystems, libraries, and model references
Managing a model and all its dependencies
Addressing model scalability and performance concerns
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
Virtual subsystems
Atomic subsystems
Subsystem references
Model references
Libraries
Component variants

Project Management

Objective: Discuss how to effectively organize a project (containing models, data, documentation, etc.) and perform configuration management tasks.

Project setup
File shortcuts and labels
File dependencies and impact
Source control integration
File differences

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
Saving and loading data
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: Learn how to improve simulation performance, use acceleration modes and understand their tradeoffs.

Simulink Profiler
Simulation modes
Comparing performance
Performance Advisor

Modeling Standards

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 views
Standard reports
Custom reports

Level: Intermediate

Prerequisites:

MATLAB Fundamentals
Simulink Fundamentals
This course is intended for intermediate or advanced Simulink users.

Duration: 2 days

Languages: Deutsch, English, Français, 日本語, 한국어, 中文

View schedule and enroll

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