Low complexity fault-tolerant formation control for autonomous underwater vehicles with global prescribed-time performance

IF 4.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2025-01-01 Epub Date: 2024-11-30 DOI:10.1016/j.jfranklin.2024.107422
Yiwei Liu , Xin Wang , Ning Pang , Lihua Tan
{"title":"Low complexity fault-tolerant formation control for autonomous underwater vehicles with global prescribed-time performance","authors":"Yiwei Liu ,&nbsp;Xin Wang ,&nbsp;Ning Pang ,&nbsp;Lihua Tan","doi":"10.1016/j.jfranklin.2024.107422","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates a novel control scheme for multiple autonomous underwater vehicle (AUV) systems in the presence of measurement errors, unknown external disturbances, and actuator faults. The proposed strategy achieves robust formation control while ensuring global prescribed-time performance. By employing passive strategies and event-triggering mechanism, the communication burden between controller and actuator and computational complexity are significantly reduced. All closed-loop signals are proven to be bounded, and Zeno behavior is avoided. The effectiveness of this control scheme is validated through a simulation.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 1","pages":"Article 107422"},"PeriodicalIF":4.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003224008433","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/30 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper investigates a novel control scheme for multiple autonomous underwater vehicle (AUV) systems in the presence of measurement errors, unknown external disturbances, and actuator faults. The proposed strategy achieves robust formation control while ensuring global prescribed-time performance. By employing passive strategies and event-triggering mechanism, the communication burden between controller and actuator and computational complexity are significantly reduced. All closed-loop signals are proven to be bounded, and Zeno behavior is avoided. The effectiveness of this control scheme is validated through a simulation.
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
具有全局规定时间性能的自主水下航行器低复杂度容错编队控制
针对存在测量误差、未知外部干扰和执行器故障的多自主水下航行器(AUV)系统,研究了一种新的控制方案。该策略在保证全局规定时间性能的同时,实现了鲁棒的地层控制。通过采用被动策略和事件触发机制,大大降低了控制器与执行器之间的通信负担和计算复杂度。证明了所有闭环信号都是有界的,避免了芝诺行为。通过仿真验证了该控制方案的有效性。
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
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
期刊最新文献
Distributed online convex optimization under delayed feedback with edge-Based event-Triggered communication Switching threshold event-triggered adaptive NN fixed-time control of nonlinear CPSs with unknown FDI attacks and actuator faults Stabilization of multi-link hybrid stochastic coupled systems with pantograph delay based on aperiodically intermittent control Consensus of reaction-diffusion fractional-order multi-agent systems via adaptive event-triggered boundary control Neuroadaptive-based distributed asymmetric bipartite tracking control of uncertain networked Euler-Lagrange systems
×
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:604180095
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