With Model-Based Design, virtual models are at the center of your development process to improve how you deliver complex systems.
Use Model-Based Design with MATLAB and Simulink to shorten development cycles and reduce your development time by 50% or more.
- Try new ideas and perform fast repeatable tests with modeling and simulation
- Eliminate manual steps and reduce human error by automating key steps such as reporting, coding, and verification
- Create a digital thread with traceability from requirements and system architecture to component design and tests
- Perform predictive maintenance, detect faults, and optimize the system in operation using models as digital twins
Using MATLAB and Simulink for
“With MathWorks tools for Model-Based Design, we have one integrated tool chain from the beginning of development to the end. We have clear traceability of requirements, and our software is more maintainable because it is implemented as a model from which we automatically generate code.”Thomas Ehl, Continental
Model-Based Design is for:
Getting Started with Model-Based Design
Reduce the risk of slowing down development by introducing Model-Based Design in stages. Start with a single project, then build on initial success with expanded model usage and code generation. This ensures an achievable return on investment (ROI) from the beginning.
- Airnamics Develops Unmanned Aerial System for Close-Range Filming with Model-Based Design
- ENGEL Speeds Development of Injection Molding Machine Controllers
- Enabling Small Development Teams with Model-Based Design: Q&A with Airnamics
- Mondragon University Students Build Practical Engineering Skills Through Project-Based Learning
- Simulink for Simulation and Model‑Based Design
- System Modeling and Simulation
- Agile System Development with Model-Based Design
- Model-Based Systems Engineering
- What Is a Digital Twin? 3 Things You Need to Know
- MATLAB and Simulink for Verification, Validation, and Test
- MATLAB and Simulink for Embedded Code Generation