Two-agent connectivity maintenance and collision avoidance under two relationships

IF 4.8 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Automatica Pub Date : 2024-09-30 DOI:10.1016/j.automatica.2024.111959
Bofan Wu , Zhaoxia Peng , Guoguang Wen , Shichun Yang , Xiaoqin Zhai , Tingwen Huang
{"title":"Two-agent connectivity maintenance and collision avoidance under two relationships","authors":"Bofan Wu ,&nbsp;Zhaoxia Peng ,&nbsp;Guoguang Wen ,&nbsp;Shichun Yang ,&nbsp;Xiaoqin Zhai ,&nbsp;Tingwen Huang","doi":"10.1016/j.automatica.2024.111959","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we study a two-agent tracking problem with the connectivity maintenance and collision avoidance requirements (CM–CARs) under two relationships. One is the leader–follower relationship, where the leader just focuses on its tracking goal, but the follower still needs to ensure the CM–CARs for the leader. Since the feasible space of the follower is a nonconvex ring, it is inconvenient to search for a feasible control directly. Thus, we split the original nonconvex region and search for a convex one by a homeomorphism mapping. Under the leader–follower relationship, a control scheme is proposed for the follower in the original feasible region. It is transformed from a control protocol that ensures the follower satisfies the CM–CARs in the mapping convex region. The other is the colleague relationship, where two agents both need to satisfy the CM–CARs and their control strategies are interactive. Thus, we propose an optimization-based strategy to achieve the tracking mission for the two-agent system, which satisfies the CM–CARs. Finally, we provide some simulation results to verify the proposed strategies.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111959"},"PeriodicalIF":4.8000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005109824004539","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we study a two-agent tracking problem with the connectivity maintenance and collision avoidance requirements (CM–CARs) under two relationships. One is the leader–follower relationship, where the leader just focuses on its tracking goal, but the follower still needs to ensure the CM–CARs for the leader. Since the feasible space of the follower is a nonconvex ring, it is inconvenient to search for a feasible control directly. Thus, we split the original nonconvex region and search for a convex one by a homeomorphism mapping. Under the leader–follower relationship, a control scheme is proposed for the follower in the original feasible region. It is transformed from a control protocol that ensures the follower satisfies the CM–CARs in the mapping convex region. The other is the colleague relationship, where two agents both need to satisfy the CM–CARs and their control strategies are interactive. Thus, we propose an optimization-based strategy to achieve the tracking mission for the two-agent system, which satisfies the CM–CARs. Finally, we provide some simulation results to verify the proposed strategies.
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
两种关系下的双代理连通性维护和碰撞规避
本文研究了在两种关系下具有连通性维护和避免碰撞要求(CM-CARs)的双代理跟踪问题。一种是领导者与追随者的关系,即领导者只关注自己的追踪目标,但追随者仍需确保领导者的 CM-CARs 。由于追随者的可行空间是一个非凸环,不便直接搜索可行控制。因此,我们将原来的非凸区域分割开来,通过同构映射寻找一个凸区域。在领导者与追随者的关系下,我们提出了一种在原始可行区域内对追随者的控制方案。它是由确保追随者在映射凸区域满足 CM-CAR 的控制协议转化而来的。另一种是同事关系,即两个代理都需要满足 CM-CAR,它们的控制策略是互动的。因此,我们提出了一种基于优化的策略,以实现满足 CM-CARs 的双代理系统的跟踪任务。最后,我们提供了一些仿真结果来验证所提出的策略。
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
Automatica
Automatica 工程技术-工程:电子与电气
CiteScore
10.70
自引率
7.80%
发文量
617
审稿时长
5 months
期刊介绍: Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience. Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.
期刊最新文献
Distributed optimal coverage control in multi-agent systems: Known and unknown environments Generalized Lyapunov functionals for the input-to-state stability of infinite-dimensional systems Fully distributed and attack-immune protocols for linear multiagent systems by linear time-varying feedback Meta-learning for model-reference data-driven control Feedback stability analysis via dissipativity with dynamic supply rates
×
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