Manufacturers of equipment used in manufacturing, testing, and power generation applications face complex challenges to develop embedded applications that integrate with mechanical, electrical, control, and signal processing systems. Forward-looking companies are turning to Model-Based Design to redefine the way they perform system-level design.
Model-Based Design enables industrial equipment makers to create executable specifications in the form of Simulink® models that provide clear design direction to diverse engineering groups.
Sharing models shifts the focus of the development process from design and test on hardware to design and test with models, enabling early verification across domains before investing in prototypes. Machine makers then leverage code-generation technology to reduce rework, link code to design, and allow software engineers to focus on software architecture.
Startups worldwide rely on MATLAB and Simulink to mitigate technical risk and do more with limited development resources.
Use MATLAB for Big Data, Machine Learning and Production Analytics Systems.
See examples and learn how to address the top 3 engineering challenges.