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.
Connect AI Agents to Simulink
Bring domain-specific capabilities to your agentic AI workflow.
Develop Safe and Deterministic Systems with Model-Based Design
To transform the development of software-defined engineered systems, market-leading companies adopt Model-Based Design by systematically using models throughout the entire process.
- Find defects and prove out systems before they are built using virtual models.
- Generate deterministic code and verification artifacts directly from models to reduce manual steps.
- Prevent regressions and accelerate delivery with continuous integration and verification of software changes.
- Maintain a digital thread with traceability through requirements, system architecture, component design, code, and tests.
- Use grounded AI assistance to understand designs faster and apply verification workflows consistently while preserving rigor, traceability, and repeatability.
What Is Simulink?
Simulate highway lane-following algorithms in realistic driving scenarios before road testing.
Simulate Systems and Validate Software—Before Hardware is Available
Virtualize your system to simulate behavior and validate software implementation so you can reduce integration risk.
- Simulate plant, environment, and software together to assess closed‑loop behavior.
- Create task-specific Digital Twin representations across the lifecycle.
- Validate designs through desktop simulation, SIL, and PIL workflows, including vECU and virtual vehicle configurations, as software evolves toward production.
- Run large-scale simulations locally or scale with clusters and cloud compute.
- Transition virtual models to real‑time prototyping and HIL testing of target hardware.
Automate Testing and Validation of Embedded Software
Ensure system reliability with automated verification throughout the development lifecycle. Test software and models in CI pipelines, detect issues earlier, and meet industry standards.
- Run requirements‑based tests on models and code to discover design defects and integration issues earlier.
- Execute simulations, tests, and verification checks in every CI run.
- Automatically check for design errors, modeling guidelines, static code analysis, and compliance with standards such as DO-178 and ISO 26262.
- Validate software updates against operating scenarios to prevent regressions.
- Generate virtual test harnesses and coverage reports to measure completeness and maintain traceability.
Model and verify BMS control logic for safe operation, fault handling, and efficient battery usage.
Refine flight control algorithms with multidomain simulation to model vehicle dynamics, controllers, and the system environment.
Create Models Representing Multidomain Systems
Understand full system behavior early by simulating physical domains and software together in Simulink.
- Combine electrical, mechanical, thermal, hydraulic, and software components in one system model.
- Connect physics-based, reduced-order, and data-driven plant models with software and control logic.
- Integrate third-party plant and component models using FMUs.
- Evaluate cross-domain interactions and tradeoffs early in the design process.
- Build modular, hierarchical models that scale from components to full systems.
Generate Production Code for Multiple Hardware Targets
Reduce manual coding, ensure consistency, and scale across hardware platforms.
- Generate production-quality C, C++, CUDA, PLC, Verilog, and VHDL code.
- Produce optimized code for embedded systems and simulation frameworks.
- Deploy directly to target hardware, including microcontrollers, DSPs, GPUs, and FPGAs.
Automatically generate code for a variety of hardware targets.
AI for Embedded Systems and Model-Based Design
Add AI to Your Embedded Software
Embed AI into your systems for perception, signal classification, fault detection, or predictive maintenance. Validate behavior in closed-loop simulation to ensure safe, predictable performance in real-world conditions.
- Import pretrained models from TensorFlow, PyTorch, or MATLAB.
- Augment training data with synthetic scenarios that are difficult to capture in the real world.
- Validate AI behavior with system-level and closed-loop simulation.
- Compress, optimize, and deploy models to AI hardware.
Accelerate Model-Based Design Using Generative AI
Accelerate development with generative AI that enhances productivity, improves code quality, and supports safe and deterministic system design.
- Chat with Simulink Copilot for guidance grounded in your models and documentation.
- Reduce time spent navigating, debugging, testing, and refactoring your designs.
- Automate engineering tasks with MATLAB MCP Core Server and Simulink Agentic Toolkit.
- Preserve engineering rigor by keeping workflows reviewable, traceable, and repeatable as you adopt AI assistance.
How Companies Succeed with Simulink
Dyson
“Using Model-Based Design and Simulink models gave us the ability to be agile and turn new ideas around twice as fast compared to our document-based development process.”
Stellantis
“90% of these models are developed in MATLAB and Simulink. MATLAB and Simulink are enough for our high-fidelity models also.... Stellantis actually reduces physical test means from conception to launch of the entire vehicle development with these models.”
Boeing
The initial implementation of the GN&C took six weeks—two weeks for the Simulink modeling and four weeks for the unit testing. Each subsequent update, including verification and analysis, took one week.
Siemens Energy Grid Solutions
“When we started, the first decision we took was to go with Model-Based Design and MathWorks products. Now all teams develop in the same modeling language, Simulink, and code generation details, compilers, and tool chains are handled centrally.”
NASA’s Artemis Program
“We’re making sure that all the components connected to the system, and the system itself, can play well together.”
Renault
“Our continuous integration flow using Simulink and ROS Toolbox allows us to go from a developer’s release to prototyping and deploying on real targets in under an hour.”
Simulink FAQs
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 Agentic Toolkit with MATLAB MCP Server facilitates iterative design workflows with external AI agents. Simulink Copilot can explain models, troubleshoot errors, and offer design guidance. 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.
Get Simulink Today
Instant Access
Get started with your free 30-day trial.
Simulink Online
Use Simulink through your web browser.
