基于自适应控制和资源分配协同设计的计算约束缓解方法*

L. T. Phan, R. Sanfelice
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引用次数: 0

摘要

当今大多数工程系统的运行都涉及物理和计算系统。这些网络物理系统(CPS)在其组件之间交换不同性质(模拟、数字等)和维度(小数据包、视频流等)的数据[1],[5]。处理数据和做出决策所需的资源随着时间的推移而变化。一刀切的解决方案是不够的,因为它们会导致一个昂贵的、超大的系统,而不一定适合手头的应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mitigating Computational Constraints via Adaptive Control and Resource Allocation Co-design*
Most engineering systems of today involve physics and computing systems for their operation. These cyber-physical systems (CPS) exchange data of different nature (analog, digital, etc.) and dimension (small data packets, video streams, etc.) between its components [1], [5]. The resources required for the processing of the data and for making decisions change over time. One size fits all type of solutions are not adequate, as they lead to a costly, oversized system that is not necessarily tailored to the application at hand.
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