The increasing demand for mapping diverse embedded features onto shared electronic control units has brought about novel ways to co-design control tasks and their schedules. These techniques replace traditional implementations of control with new methods, such as pattern-based scheduling of control tasks and adaptive sharing of bandwidth among control loops through orchestration of their execution patterns. In the current practice of control design, once the static execution schedule is prepared for control tasks, no further control-related optimization is attempted for improving the control performance. We introduce, for the first time, an algorithmic mechanism that re-engineers a recurrent control task by enforcing switching between multiple control laws, which are designed for compensating the non-uniform gaps between successive executions of the control task. We establish that such post-processing of control task schedules may potentially help in improving the combined control performance of the co-scheduled control loops that are executing on a shared platform.

中文翻译：

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控制回路执行计划的性能驱动后处理

将各种嵌入式功能映射到共享电子控制单元的需求不断增长，这带来了共同设计控制任务及其时间表的新方法。这些技术用新方法取代了传统的控制实现，例如基于模式的控制任务调度和通过编排控制循环的执行模式来自适应地共享控制循环之间的带宽。在当前的控制设计实践中，一旦为控制任务准备了静态执行计划，就不会尝试进一步进行与控制相关的优化来提高控制性能。我们首次引入了一种算法机制，通过强制在多个控制律之间进行切换来重新设计循环控制任务，其设计用于补偿控制任务的连续执行之间的不均匀间隙。我们确定，控制任务计划的这种后处理可能有助于提高在共享平台上执行的共同计划控​​制循环的组合控制性能。