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Simulink Model Management & Architecture
Next level after the fundamental
Simulink Model Management and Architecture
Learn to use Simulink to design models and projects for scalability and traceability
Complimentary Services: Post training email support & 1-hr consultation session within 1 month after the course completion!
Course
Highlights
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
Who Should
Attend
Engineers, researchers, managers who need to manage, share and verify large Simulink model using Simulink Project and use Simulink Report Generator.
Course
Prerequisites
- MATLAB Fundamentals and Simulink for System
- Algorithm Modeling
- Create and manage project consisting of models, data, requirements, etc.
- Switch between different variants of a component
- Share models and their dependencies with other people
- Organize model data to affect tunability, readability, scope, and code generation
- Enforce specific modeling standards for all models within a project
- Produce artifacts to communicate a Simulink design
This course is intended for intermediate or advanced Simulink users.
Course
Benefits
Upon the completion of the course, the participants will be able to:
Partners
Upcoming Program
- Please keep me posted on the next schedule
- Please contact me to arrange customized/ in-house training
Course Outline
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
- Referenced projects
- Source control integration
- File differences
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
