Model-Based Design with MATLAB and Simulink

Intelligent systems drive the technology of daily life. They're powered by megatrends like electrification, connectivity, autonomy, and artificial intelligence. As these systems get smarter, the software embedded in them incorporates ever more powerful algorithms.

[MUSIC PLAYING]

For example, an autonomous electric car with its advanced propulsion, perception, navigation, and safety features will run on an estimated 250 million lines of embedded code. Developing this complex code requires the use of system models throughout the design process. At MathWorks, we've perfected such an approach-- model-based design. And we've created software tools that give you the power to innovate by making it easy to try new ideas, exposing design problems early, automating steps such as code generation, and speeding up the overall development process.

Model-based design begins with a system model where you capture ideas and requirements. The model is an executable specification that lets your team collaborate across engineering roles and modeling domains to quickly explore design trade-offs. You simulate the model on the desktop or in real time to verify your design meets requirements, reducing the need for expensive prototypes.

With each iteration, you refine the system model to optimize your design. When your design is ready for implementation, you generate code automatically, which eliminates hand coding errors. Finally, you verify your implementation through simulation, processor in the loop, and hardware in the loop testing.

By moving design tasks from the lab and field to the desktop and cloud, model-based design is transforming the way engineers and scientists work. And it's advancing research and engineering education at thousands of universities worldwide. Learn what model-based design with MATLAB and Simulink can do for you.