Lyapunov stability-based optimal control of following vehicles on a highway

A. Yahiaoui
{"title":"Lyapunov stability-based optimal control of following vehicles on a highway","authors":"A. Yahiaoui","doi":"10.1504/IJVAS.2018.096158","DOIUrl":null,"url":null,"abstract":"The application of modern control methods to automated driving of following vehicles on a highway can make the advanced transportation systems much more safe and efficient. This paper focuses on a computational approach to optimal control and stability analysis of the adjacent vehicles following in a single traffic lane of a highway in order to ensure the functional safety and assistance of automated driving systems. These vehicles are entirely automated as they have the ability to follow a line path at a high speed and reduce the distance that separates them while adjusting their responses automatically without intervention from humans (i.e. drivers). To meet such requirements for driving safety, this paper explores a new approach to string stability of following vehicles that travel in a straight line of a highway, using optimal control and Lyapunov stability theories. Consequently, sufficient conditions for string stability of a vehicle traffic using continuous-time Lyapunov function and matrix Riccati equation are presented. The search for a quadratic Lyapunov function is then formulated as a convex optimisation problem in terms of a linear invariant system towards a quadratic optimal criterion. The analysis of these methods for minimising the performance criterion is also given. Finally, the paper ends with a conclusion and perspective for future work.","PeriodicalId":39322,"journal":{"name":"International Journal of Vehicle Autonomous Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJVAS.2018.096158","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Vehicle Autonomous Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJVAS.2018.096158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

The application of modern control methods to automated driving of following vehicles on a highway can make the advanced transportation systems much more safe and efficient. This paper focuses on a computational approach to optimal control and stability analysis of the adjacent vehicles following in a single traffic lane of a highway in order to ensure the functional safety and assistance of automated driving systems. These vehicles are entirely automated as they have the ability to follow a line path at a high speed and reduce the distance that separates them while adjusting their responses automatically without intervention from humans (i.e. drivers). To meet such requirements for driving safety, this paper explores a new approach to string stability of following vehicles that travel in a straight line of a highway, using optimal control and Lyapunov stability theories. Consequently, sufficient conditions for string stability of a vehicle traffic using continuous-time Lyapunov function and matrix Riccati equation are presented. The search for a quadratic Lyapunov function is then formulated as a convex optimisation problem in terms of a linear invariant system towards a quadratic optimal criterion. The analysis of these methods for minimising the performance criterion is also given. Finally, the paper ends with a conclusion and perspective for future work.
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
基于Lyapunov稳定性的公路跟车最优控制
将现代控制方法应用于高速公路上跟随车辆的自动驾驶可以使先进的交通系统更加安全和高效。为了确保自动驾驶系统的功能安全和辅助,本文重点研究了一种计算方法,对高速公路单车道上相邻车辆的跟随进行最优控制和稳定性分析。这些车辆是完全自动化的,因为它们能够高速沿着线路行驶,并缩短它们之间的距离,同时在没有人类(即驾驶员)干预的情况下自动调整它们的反应。为了满足驾驶安全的要求,本文利用最优控制和李雅普诺夫稳定性理论,探索了一种新的方法来研究在高速公路直线上行驶的跟随车辆的串稳定性。因此,利用连续时间李雅普诺夫函数和矩阵Riccati方程,给出了车辆交通串稳定的充分条件。然后,根据线性不变系统的二次最优准则,将二次李雅普诺夫函数的搜索公式化为凸优化问题。对这些最小化性能标准的方法也进行了分析。最后,本文对未来的工作进行了总结和展望。
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
International Journal of Vehicle Autonomous Systems
International Journal of Vehicle Autonomous Systems Engineering-Automotive Engineering
CiteScore
1.30
自引率
0.00%
发文量
0
期刊介绍: The IJVAS provides an international forum and refereed reference in the field of vehicle autonomous systems research and development.
期刊最新文献
Development of autopilot control algorithm for an unmanned aerial vehicle based on simulation Performance evaluation of low-resolution monocular vision-based velocity estimation technique for moving obstacle detection and tracking Traffic sign recognition using deep learning A new fractional-order sliding mode controller for the cruise control system of automatic vehicles Decoupled 3-D object detector
×
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