Jitter minimization with genetic algorithms

F. Coutinho, J. Barreiros, J. Fonseca, E. Costa
{"title":"Jitter minimization with genetic algorithms","authors":"F. Coutinho, J. Barreiros, J. Fonseca, E. Costa","doi":"10.1109/WFCS.2000.882558","DOIUrl":null,"url":null,"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.","PeriodicalId":112914,"journal":{"name":"2000 IEEE International Workshop on Factory Communication Systems. Proceedings (Cat. No.00TH8531)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 IEEE International Workshop on Factory Communication Systems. Proceedings (Cat. No.00TH8531)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WFCS.2000.882558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Performance evaluation of a multiple networked in-vehicle embedded architecture MUST: a quasi-round robin access scheme for CAN networks Heuristic techniques for allocating and scheduling communicating periodic tasks in distributed real-time systems Embedded Internet technology in process control devices Combining event-triggered and time-triggered traffic in FTT-CAN: analysis of the asynchronous messaging system
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1