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

Use Simulink to create a model with four hydraulic cylinders. The model has a single pump and four actuators.

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Simulation of Bouncing Ball

Uses two models of a bouncing ball to show different approaches to modeling hybrid dynamic systems with Zeno behavior. Zeno behavior is informally characterized by an infinite number of events occurring in a finite time interval for certain hybrid systems. As the ball loses energy, the ball collides with the ground in successively smaller intervals of time.

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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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