Jitter minimization with genetic algorithms

F. Coutinho, J. Barreiros, J. Fonseca, E. Costa
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引用次数: 10

Abstract

Transmission network induced jitter in periodic control variables is a known problem on field bus based distributed systems for embedded control applications. This jitter can be reduced or eliminated if adequate release instants are imposed to the periodic messages transmitted. In this paper, jitter reduction is achieved testing a variant genetic algorithm that determines an adequate initial phasing. This algorithm can be used progressively, i.e. it can work first on a subset of the messages, thus finding solutions for the higher priority ones, and later including the other messages until the whole set is considered. Experimental results obtained with two well-known and widely used benchmarks, the PSA, coming from automotive industries, and the SAE from Automatically Guided Vehicles, show complete elimination or a significant decrease of jitter when compared to non-optimized systems.
遗传算法的抖动最小化
传输网引起的周期性控制变量抖动是基于现场总线的嵌入式控制应用分布式系统的一个已知问题。这种抖动可以减少或消除,如果适当的释放瞬间施加到周期性消息传输。在本文中,通过测试一种确定适当初始相位的变异遗传算法来实现抖动减少。该算法可以逐步使用,即它可以首先处理消息的一个子集,从而找到优先级较高的消息的解决方案,然后包括其他消息,直到考虑整个集合。使用两种众所周知且广泛使用的基准测试(来自汽车行业的PSA和来自自动引导车辆的SAE)获得的实验结果表明,与未优化的系统相比,完全消除或显著减少了抖动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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