Simulink Coder
R2026bSimulink® Coder™ 从 Simulink 模型、Stateflow® 图和 MATLAB® 函数中生成并执行 C 和 C++ 代码。生成的源代码可用于实时和非实时应用程序，包括仿真加速、快速原型和硬件在环测试。您可以使用 Simulink 调整和监测生成的代码，或在 MATLAB 和 Simulink 之外运行代码以及与代码交互。
要将您的 Simulink 仿真共享为功能模型单元 (FMU)，请使用 Simulink FMU Builder。
Simulink Coder 快速入门
Simulink Coder 基础知识学习
架构和组件设计
通过开发用于生成代码部署、快速原型或实时仿真的算法来设计软件系统
代码生成
代码生成和调试、报告生成
部署、集成和支持的硬件
集成、保护、打包和转移生成的代码；将生成的代码部署到支持的硬件上
代码效率
通过最小化内存要求和加速执行来优化生成的代码
代码和工具自定义
为工程或组织自定义生成的代码和代码生成工具
验证和测试
调节参数，比较仿真和生成的代码执行结果，并分析代码性能
查看 Bug 报告以确定并解决问题
Software is inherently complex and is not free of errors. The output of a code generator might contain bugs, some of which are not detected by a compiler. MathWorks reports critical known bugs brought to its attention on its Bug Report system at www.mathworks.com/support/bugreports/. Click the "Incorrect Code Generation" filter to obtain a report of known bugs that produce code that might compile and execute, but still produce wrong answers. To save the filtered results, click Save Search.
The bug reports are an integral part of the documentation for each release. Examine periodically all bug reports for a release, as such reports may identify inconsistencies between the actual behavior of a release you are using and the behavior described in this documentation.
In addition to reviewing bug reports, you should implement a verification and validation strategy to identify potential bugs in your design, code, and tools.
