Progress in Modeling Railway Hunting Behaviors by Means of Chaotic Equations

E. Costamagna, E. D. Gialleonardo
{"title":"Progress in Modeling Railway Hunting Behaviors by Means of Chaotic Equations","authors":"E. Costamagna, E. D. Gialleonardo","doi":"10.1109/CompEng.2018.8536231","DOIUrl":null,"url":null,"abstract":"This work presents some further achievements in modeling the hunting behavior of railway vehicles starting from experience in mimicking error processes in radio channels and from a recent work on hunting lateral accelerations, in which a first attempt to use similar chaotic equations has been recently proposed. Model sequences are modeled as weighted sums of chaotic functions, whose statistical features are matched to target sequences provided by experience or reliable mechanical multi-body procedures. Different examples are shown, various comments are presented, and some future work is outlined.","PeriodicalId":194279,"journal":{"name":"2018 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Workshop on Complexity in Engineering (COMPENG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CompEng.2018.8536231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This work presents some further achievements in modeling the hunting behavior of railway vehicles starting from experience in mimicking error processes in radio channels and from a recent work on hunting lateral accelerations, in which a first attempt to use similar chaotic equations has been recently proposed. Model sequences are modeled as weighted sums of chaotic functions, whose statistical features are matched to target sequences provided by experience or reliable mechanical multi-body procedures. Different examples are shown, various comments are presented, and some future work is outlined.
用混沌方程模拟铁路狩猎行为的研究进展
这项工作从模拟无线电信道中的误差过程的经验和最近关于狩猎横向加速度的工作开始,提出了一些在模拟铁路车辆狩猎行为方面的进一步成就,其中首次尝试使用类似的混沌方程。模型序列被建模为混沌函数的加权和,其统计特征与经验或可靠的机械多体程序提供的目标序列相匹配。展示了不同的例子,提出了各种评论,并概述了一些未来的工作。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信