Edocti Training

Simulink Model Management and Architecture

Name: Simulink Model Management and Architecture
Rating: 4.8 (96 reviews)

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14 h

4.8 (96 reviews)

Scheduled sessions

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Simulink Model Management & Architecture: Bridge the gap between classical software architecture principles and Simulink-based development practices.

Learn to design well-structured, modular models using correct decomposition, referencing, and advanced data management with Data Dictionaries.

Master end-to-end requirements traceability, large-scale model referencing, and efficient library reuse strategies for enterprise projects.

Gain practical experience: Spend ~70% of the training in hands-on labs focused on building, reviewing, and integrating models within SCM (Source Control Management).

How this helps: Confidently apply professional Model-Based Design (MBD) to large-scale automotive projects with thousands of signals.

Who it’s for: Engineers designing or maintaining complex Simulink models who need clear, scalable practices for data and architecture management.

The course includes essential workflows for team collaboration, model diffing, and CI (Continuous Integration).

Skills You Will Learn

Simulink Architecture Model Referencing (Advanced) Data Dictionaries & Scoping Requirements Traceability SCM Integration (Git/SVN) Model Review & Diffing Library Management MBD Life Cycle (SDLC)

Curriculum

Traditional Software Architecture and Design

From requirements to software architecture and detailed design (classic view)
Identify components, interfaces, and responsibilities

Model-based design

Core ideas and mapping to the classic approach
Benefits and trade-offs for large automotive projects

A simple model

Build a small Simulink model, wire I/O, simulate and analyze results
Quality checks: readability, hierarchy, sample-time consistency

Requirements traceability

Requirements linkage workflows
Component interfaces and stubs
Bus objects and interface contracts

Model architecture

Decomposition: components, subsystems, bus signals
Types of subsystems (enabled/triggered) and when to use them
Model referencing: workflow and best practices
Creating libraries; using the Library Browser effectively

Managing data

Control data dependencies; save/load patterns
Workspaces (base/model) and data scoping
Parameters and signals; dictionaries and data objects
Data types in Simulink; typedef hygiene

Project management and SDLC

Organize models, data and documentation
Integrate with SCM, diff and review models
Lightweight documentation from models

Course Day Structure

Part 1: 09:00–10:30
Break: 10:30–10:45
Part 2: 10:45–12:15
Lunch break: 12:15–13:15
Part 3: 13:15–15:15
Break: 15:15–15:30
Part 4: 15:30–17:30