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  1. Use a virtual model to simulate and test your system early and often. Validate your design with physical models, Hardware-in-the-Loop testing, and rapid prototyping. Generate production-quality C, C++, CUDA, PLC, Verilog, and VHDL code and deploy directly to your embedded system.

  2. Use Simulink ® Coder™ to code and integrate Simulink models within the model of the Vitualizer Development Kits. This integration enables developers to simulate complete systems including the physical plant, the target hardware, and the embedded software.

  3. Simulink variant capabilities allow you to create flexible models with built-in variabilities to more efficiently manage, configure, and reuse your designs. For information on Simulink variants basics, see What Are Variants and When to Use Them. The V-model represents a development process.

  4. FMI Kit provides two Simulink Coder targets to export Simulink models as FMUs: grtfmi.tlc (based on the Generic Real-Time target) rtwsfcnfmi.tlc (based on the S-function target)

  5. 26 kwi 2021 · This blog will provide an overview of how three of MathWorks’ platforms — MATLAB, Simulink and RoadRunner — integrate with and support workflows for autonomous vehicle (AV) developers using NVIDIA DRIVE Sim, a platform for scalable, physically accurate, and diverse simulation.

  6. The Virtual Vehicle Composer app enables teams to configure and generate complete models within minutes. More importantly, however, the resulting model is fully customizable, so teams can augment it with new plant, controller, or sensor model features, or with additional functions written in C or MATLAB ®.

  7. Speed development, integration, and test of microcontroller abstraction layer (MCAL), complex drivers, multicore software, and complete AUTOSAR stacks. Test corner cases with virtual hardware-in-the-loop environments including Simulink ®, Saber ® and CANoe ®.

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