运行多个仿真

为模型提供一组输入，并使用这些输入和 parsim 或 batchsim 函数运行多个仿真。

对于涉及多个并行仿真和记录大量数据的工作流，您可以使用 Simulink.SimulationInput 对象数组创建仿真集。SimulationInput 对象有助于您运行多个不同的仿真，而无需更改您的模型。SimulationInput 对象的数组使您能够运行多个仿真。

如果您拥有 Parallel Computing Toolbox™ 许可证，则可以使用 parsim 函数并行运行仿真。此函数可将多个仿真分发给并行工作进程，从而缩短整体仿真时间。带有 Parallel Computing Toolbox 的 parsim 还可以自动创建并行池、识别文件依存关系，并管理用于进行加速和快速加速仿真的工件。如果没有 Parallel Computing Toolbox 许可证， parsim 命令将串行运行多个仿真。

另外，您还可以将 batchsim 与 Parallel Computing Toolbox 和 MATLAB^® Parallel Server™ 许可证结合使用。使用 batchsim 时，仿真会将其工作负载分散到一个计算群集上。您可以打开一个单独的 MATLAB 会话来访问作业和结果。

要快速入门，请参阅运行多个仿真和Run Parallel Simulations Using parsim。

函数

`batchsim`	Offload simulations to run on a compute cluster
`parsim`	以并行或串行方式进行多次动态系统仿真

`applyToModel`	Apply changes to the model specified through a `SimulationInput` object, `in`
`setBlockParameter`	Set block parameters to be used for a specific simulation through `SimulationInput` object, `in`
`setModelParameter`	Set model parameters to be used for a specific simulation through `SimulationInput` object, `in`
`setInitialState`	Set initial state to be used for a specific simulation through `SimulationInput` object, `in`
`setExternalInput`	Set external inputs for a simulation through `SimulationInput` object, `in`
`setVariable`	通过 `SimulationInput` 对象 `in` 设置仿真的变量
`validate`	Validate the contents of the `SimulationInput` object, `in`
`setPreSimFcn`	Specify a MATLAB function to run before start of each simulation through `SimulationInput` object, in
`setPostSimFcn`	Specify a MATLAB function to run after each simulation is complete through `SimulationInput` object, in
`loadVariablesFromMATFile`	Load variables from MAT-file into a `Simulink.SimulationInput` object, `in`
`getSimulationJobs`	Get all `Simulink.Simulation.Job` objects from cluster
`contents`	View the contents of the `Simulink.SimulationInput` object

类

`Simulink.SimulationInput`	创建 `SimulationInput` 对象以对多个或单个仿真的模型进行更改
`Simulink.Simulation.Variable`	Variables in `Simulink.SimulationInput` objects
`Simulink.Simulation.BlockParameter`	Block parameters in `Simulink.SimulationInput` objects
`Simulink.Simulation.Future`	Create `Future` object for simulation
`Simulink.Simulation.Job`	Execute `batchsim` to create a `Simulink.Simulation.Job` object, `simJob`

工具

Simulation Manager Monitor multiple simulations and visualize the simulation data

主题

运行多个仿真

直接从 parsim 和 batchsim 命令运行多个仿真。

Run Parallel Simulations Using parsim

Example of multiple parallel simulations workflows.

运行并行仿真

以编程方式并行运行模型仿真。

Multiple Simulation Workflows

Understand the similarities and differences between parsim, parsim with RunInBackground, and batchsim.

Analyze Results Using Simulation Manager

Use the Simulation Manager to visualize the simulation data, analyze the simulation results and the simulation trends.

特色示例

Parallel Simulations Using Parsim: Parameter Sweep in Normal 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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Parallel Simulations Using Parsim: Parameter Sweep in Rapid Accelerator Mode

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Multiple Simulations Workflow Tips

The goal of this demo is to provide helpful tips for running multiple simulations using parallel simulation tools. This example will work even if the Parallel Computing Toolbox™ is not available, but the simulations will run in serial. We will be using the model sldemo_suspn_3dof for this example.

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Parallel Simulations Using Parsim: Test-Case Sweep

Run multiple Simulink® simulations corresponding to different test cases in the Signal Editor block using SimulationInput objects and the parsim command. The parsim command uses Parallel Computing Toolbox™, if it is available, to run simulations in parallel, otherwise the simulations are run in serial.

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