Leader-Following Sample data Formation Control ofNonholonomic Robots with Switching Network Topologies

Maira Ali, A. Safdar, Muwahida Liaquat
{"title":"Leader-Following Sample data Formation Control ofNonholonomic Robots with Switching Network Topologies","authors":"Maira Ali, A. Safdar, Muwahida Liaquat","doi":"10.1109/ICSTCC.2018.8540691","DOIUrl":null,"url":null,"abstract":"In this paper the problem of sample data cooperative output regulation for the leader-following formation (LFF) problem of a homogenous multi agent system is investigated. For sample data LFF problem a distributed design approach is proposed using luenberger observer, distributed observer and a zeroorder hold circuit. The designed approach enables the robots to track a discrete reference signal generated by the leader and to achieve and maintain the desired formation for the provided initial conditions. A driving force is provided by the exogenous system which serve as a leader for the robot formation. In view of time varying interaction between robots, one case of fixed network topology and two cases of switching network topologies are considered to exhibit the multirobot network relationship. The theoretical results are verified through numerical simulations of four nonholonomic multirobot network. The simulation highlights that the robots are maintaining the desired formation and are also tracking the trajectory of the leader robot under fixed and switching topologies of the multinetwork system.","PeriodicalId":308427,"journal":{"name":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC.2018.8540691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper the problem of sample data cooperative output regulation for the leader-following formation (LFF) problem of a homogenous multi agent system is investigated. For sample data LFF problem a distributed design approach is proposed using luenberger observer, distributed observer and a zeroorder hold circuit. The designed approach enables the robots to track a discrete reference signal generated by the leader and to achieve and maintain the desired formation for the provided initial conditions. A driving force is provided by the exogenous system which serve as a leader for the robot formation. In view of time varying interaction between robots, one case of fixed network topology and two cases of switching network topologies are considered to exhibit the multirobot network relationship. The theoretical results are verified through numerical simulations of four nonholonomic multirobot network. The simulation highlights that the robots are maintaining the desired formation and are also tracking the trajectory of the leader robot under fixed and switching topologies of the multinetwork system.
具有交换网络拓扑的非完整机器人的leader - follow样本数据编队控制
研究了一类同质多智能体系统的leader- follower formation (LFF)问题的样本数据协同输出调节问题。针对样本数据LFF问题,提出了一种采用luenberger观测器、分布式观测器和零阶保持电路的分布式设计方法。所设计的方法使机器人能够跟踪由领导者产生的离散参考信号,并在提供的初始条件下实现并保持所需的队形。外生系统提供驱动力,作为机器人编队的领导者。考虑机器人之间的时变相互作用,考虑一种固定网络拓扑和两种交换网络拓扑来表现多机器人网络关系。通过四种非完整多机器人网络的数值模拟验证了理论结果。仿真结果表明,在多网络系统的固定拓扑结构和切换拓扑结构下,机器人既能保持期望的队形,又能跟踪领头机器人的轨迹。
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