This post is the fourth in a series of 8 video blogs, walking through the fundamentals of Model-Based Design. When taken as a whole, these videos provide the foundation stones for understanding and implementing Model-Based Design workflows. I will be using a simple Home A/C system for my example; however the principals apply to everything from Active suspensions to Zonal control.⁽¹⁾

With this post I cover the basics of data management, both for the model and configuration settings.

1. Requirements
   1. Requirements Management
   2. Writing clear requirements
   3. What I’m expecting: writing requirements
2. System Architecture
   1. Modeling architecture: Fundamentals
   2. Model architecture decomposition for hardware and close loop testing
   3. Is your system architecture “Lego Legal”?
3. Initial (shell) models
   1. Modeling architecture with room to grow
   2. The Model-Based Design Workflow…
   3. Defining your initial Model-Based Design workflow
   4. Plants resting on a table
4. Defining and managing data
   1. Managing Data
   2. Understanding Data Usage in Model-Based Design Part I
      and
   3. Understanding Data Usage in Model-Based Design Part II
   4. The Simulink Data Dictionary
5. V&V
   1. The 8 commandments of V&V
   2. Levels of testing
   3. Modular testing environments
6. Refining the models
   1. Defining your initial Model-Based Design workflow
   2. Best Practices for Establishing a Model-Based Design Culture
7. Code generation
   1. https://www.mathworks.com/solutions/embedded-code-generation.html
8. The grab bag…
   1. A road map for Model-Based Design
   2. The next generation of Model-Based Design

Footnote

1. Stay in the zone, even when you zone out!
2. Take it with a grain of salt but how you pronounce the word “Data” may be dependent on ST-NG