Design. Simulate. Deploy.
Simulink is a block diagram environment used to design systems with multidomain models, simulate before moving to hardware, and deploy without writing code.
Have questions? Contact Sales.
Simulink is a block diagram environment used to design systems with multidomain models, simulate before moving to hardware, and deploy without writing code.
Have questions? Contact Sales.
To transform development of complex systems, market-leading companies adopt Model-Based Design by systematically using models throughout the entire process.
Explore a wide design space and test your systems early with multidomain modeling and simulation.
Model-based systems engineering (MBSE) is the application of models to support the full system lifecycle. Simulink bridges development from requirements and system architecture to detailed component design, implementation, and testing.
Agile software development helps teams deliver value to their customers faster using short iteration cycles with an emphasis on continuous integration and team collaboration. Simulation, automated testing, and code generation shorten the development cycle, enabling you to become a successful Agile team.
Use MATLAB and Simulink together to combine the power of textual and graphical programming in one environment.
Apply your MATLAB knowledge to:
“Simulink is particularly helpful in two stages of our development process. Early on, it helps us try new ideas and visualize how they will work. After generating code and conducting in-vehicle tests, we can run multiple simulations, refine the design, and regenerate code for the next iteration.”
Simulink is a block diagram environment used to design systems with multidomain models, simulate before moving to hardware, and deploy without writing code.
Simulink is used for Model-Based Design, enabling you to design, simulate, and test complex systems across multiple domains, validate designs with Hardware-in-the-Loop testing, and generate production-quality code for embedded systems.
Model-Based Design is a systematic approach that uses models throughout the development process, from concept to operation, enabling you to simulate and test systems early, validate designs, and generate code while maintaining traceability between design artifacts.
Simulink works together with MATLAB, allowing you to combine textual and graphical programming in one environment to optimize parameters, simulate behavior over time, write tests and automation scripts, and analyze simulation results.
There are two main ways to use generative AI with Simulink. Simulink Copilot can explain models, troubleshoot errors, and offer design guidance. Simulink Agentic Toolkit with MATLAB MCP Core Server facilitates iterative design workflows with external AI agents. Model‑Based Design helps ensure designs created with generative AI tools are reliable and ready for real‑world use.
Simulink is used to model and simulate dynamic systems, including control systems, electrification, autonomous systems, robotics, signal processing, wireless communications, and artificial intelligence applications.
Simulink supports testing and verification through desktop simulation, automated tests, SIL, PIL, and HIL workflows, to help engineers detect issues early and verify software before deployment.
Simulink enables automation of simulation, testing, and code generation, allowing teams to run verification workflows in CI/CD pipelines. Tests, model checks, and validation can run on every change to detect issues early, prevent regressions, and accelerate delivery while maintaining traceability and compliance.
Yes, Simulink generates production-quality C, C++, CUDA, PLC, Verilog, and VHDL code that can be deployed directly to embedded systems without writing code manually.
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