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Simulation

Run models, review results, validate system behavior

With Simulink®, you can interactively simulate your system model and view the results on scopes and graphical displays. For simulation of continuous, discrete, and mixed-signal systems, you can choose from a range of fixed-step and variable-step solvers. Solvers are integration algorithms that compute system dynamics over time.

The integration of Simulink and MATLAB®enables you to run unattended batch simulations of your Simulink models using MATLAB commands.

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Featured Examples

Four Hydraulic Cylinder Simulation

Four Hydraulic Cylinder Simulation

Use Simulink® to create a model with four hydraulic cylinders. See two related examples that use the same basic components: single cylinder model and model with two cylinders and load constraints. Note: This is a basic hydraulics example. You can more easily build hydraulic and automotive models using Simscape™ Driveline™ and Simscape Fluids™.
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Simulation of a Bouncing Ball

Simulation of a Bouncing Ball

Use two different approaches to modeling a bouncing ball using Simulink®.
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Parallel Simulations Using Parsim: Parameter Sweep in Rapid Accelerator Mode

Parallel Simulations Using Parsim: Parameter Sweep in Rapid Accelerator Mode

Run multiple simulations of a Monte Carlo study in parallel by using Parallel Computing Toolbox™. Parallel execution leverages the multiple cores of your host machine to run many simulations more quickly. These simulations could also be run in parallel on computer clusters using the MATLAB Parallel Server™. This example will work even if the Parallel Computing Toolbox™ or the MATLAB Parallel Server™ is not available, but the simulations will run in serial.
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Simulink Documentation

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Model-Based Design for Embedded Control Systems

Model-Based Design for Embedded Control Systems

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