Simulink Model Management and Architecture

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

See detailed course outline

Prerequisites

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

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

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.