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
Using MATLAB and Simulink for
Model-Based Design
“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.”
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.
Customer Stories
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.
Simulink Onramp
An interactive introduction to the basics of Simulink.
Simscape Onramp
Learn the basics of simulating physical systems in Simscape.
Stateflow Onramp
Learn the basics of how to create, edit, and simulate state machines in Stateflow.
Control Design with Simulink
Get started quickly with the basics of feedback control design in Simulink.
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