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Auto-code generation for fast embedded model predictive controllers

机译:快速嵌入式模型预测控制器的自动代码生成

摘要

The implementation of model predictive controllers on low-cast hardware such as micro-controllers has been traditionally hampered by the high computing and associated memory demands of the algorithm. This paper describes a completely automatic way to implement an MPC controller on embedded hardware starting from a dynamic model in ml. The resultant controller runs stand-alone on the embedded hardware, is extremely fast, exhibits a modest memory footprint and best of all, requires no particular embedded programming experience from the user.
机译:传统上,算法的高计算量和相关的内存需求阻碍了低预测性硬件(例如微控制器)上模型预测控制器的实现。本文描述了一种从 ml中的动态模型开始的在嵌入式硬件上实现MPC控制器的全自动方法。最终的控制器可在嵌入式硬件上独立运行,速度极快,内存占用量适中,最重要的是,不需要用户特别的嵌入式编程经验。

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