Best Practices for Building Large Models from Components to Complex Systems

Model-Based Design processes are well established and have been in use for over two decades. With increased complexity of components, systems, and their interaction with other systems and infrastructure, model sizes are increasing, and implementation challenges are growing. In this talk, get an overview of best practices for dealing with these challenges:

• MATLAB Projects: Automate routine tasks, mistake-proof parts of your work, and integrate source control into MATLAB^® and Simulink^®.
• Components: Optimize Simulink componentization for simulation performance, testability, parallel development, and code generation.
• Interfaces: Define interfaces between components to speed up development and improve performance and code generation.
• Data Types and Parameters: Manage storage for private and shared data types, parameters, and configuration sets.
• Variants: Control design alternatives for data, components, and products via variants.
• Performance: Improve initialization and simulation performance with built-in tools in Simulink.