Explore a wide design space by modeling the system under test and the physical plant. Your entire team can use one multi-domain environment to simulate how all parts of the system behave.
Reduce expensive prototypes by testing your system under conditions that are otherwise too risky or time-consuming to consider. Validate your design with hardware-in-the-loop testing and rapid prototyping. Maintain traceability from requirements to design to code.
Instead of writing thousands of lines of code by hand, automatically generate production-quality C and HDL code that behaves the same way as the model you created in Simulink. Then deploy it directly onto your MCU, DSP, or FPGA.
When you use MATLAB® and Simulink® together, you combine textual and graphical programming to design your system in a simulation environment.
Directly use the thousands of algorithms that are already in MATLAB. Simply add your MATLAB code into a Simulink block or Stateflow® chart.
Use MATLAB to create input data sets to drive simulation. Run thousands of simulations in parallel. Then analyze and visualize the data in MATLAB.
Simulink blocks let you quickly model and manipulate signals, transforms, filters, and more. Verify compliance to standards like LTE.
Simulate power electronics control systems used in electric vehicles, renewable energy, and industrial automation. Blocks of electrical components help you build system-level models for electric motors, power converters, and battery storage systems.
Model plant dynamics and design and tune feedback loops and supervisory controllers. Use simulation models to verify control design and to automatically generate code for rapid prototyping and production.
Simulink lets you model and simulate digital signal processing systems. It provides a range of test signals and waveforms, collections of filters types and architectures, and scopes for dynamic visualization. Color-coding and in-diagram displays allow you to quickly inspect update rates and signal sizes for sample-based or frame-based system designs.
Develop controllers using blocks for ground vehicles, manipulators, ROS access, and collecting and analyzing sensor data. Control your robot with the algorithms you develop and automatically generate code that you can run on hardware.
Model and simulate the vehicle and environment, and perform sensor fusion and controls development using Simulink. Develop control algorithms and decision logic based on fused sensor output.
Incorporate vision into robotics, ADAS, controls, and other multidomain systems. Model and simulate hardware implementation with test benches using frame-to-pixel stream conversion and vision algorithms designed for FPGAs and ASICs.
With Simulink, you can develop and test smart devices, and then deploy your models to edge nodes on hardware such as Raspberry Pi. Use blocks to send data to MATLAB and ThingSpeak so you can analyze it further.
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