Model-Based Design

Systematically use models throughout your development process

Model-Based Design is the systematic use of models throughout the development process that improves how you deliver complex systems. You can 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

Model-Based Design for Digital Engineering Video (2:07)

Using MATLAB and Simulink for
Model-Based Design

Model-Based Design with MATLAB and Simulink

Model-Based Design Positions Startups for Success

Danfoss Accelerates Digital Transformation with MathWorks and Model-Based Design

What Is Simulink?

“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:

Agile Software Development

Simulation, automated testing, and code generation shorten the development cycle, enabling you to become a successful Agile team.

Model-Based Systems Engineering

Simulink supports the full system lifecycle by bridging requirements and system architecture to detailed component design, implementation, and testing.

Digital Twins

Extend models to systems in operation to perform predictive maintenance and fault analysis.

DevOps

Deliver continuous software updates by iterating between development and operation through simulation, automated testing, and code generation.

Software-Defined Vehicle

Speed-Up Software-Defined Vehicle Development with MATLAB, Simulink, and Polyspace.

Artificial Intelligence

Apply Artificial Intelligence (AI) techniques to the design of engineered systems.

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.