Target pursuit for multi-AUV system: zero-sum stochastic game with WoLF-PHC assisted

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Complex & Intelligent Systems Pub Date : 2025-03-13 DOI:10.1007/s40747-025-01788-x
Le Hong, Weicheng Cui
{"title":"Target pursuit for multi-AUV system: zero-sum stochastic game with WoLF-PHC assisted","authors":"Le Hong, Weicheng Cui","doi":"10.1007/s40747-025-01788-x","DOIUrl":null,"url":null,"abstract":"<p>Due to the complexity of the underwater environment and the difficulty of the underwater energy recharging, utilizing multiple autonomous underwater vehicles (AUVs) to pursue the invading vehicle is a challenging project. This paper focuses on devising the rational and energy-efficient pursuit motion for a multi-AUV system in an unknown three-dimensional environment. Firstly, the pursuit system model is constructed on the two-player zero-sum stochastic game (ZSSG) framework. This framework enables the fictitious play on the behaviors of the invading AUV. Fictitious play involves players updating their strategies by observing and inferring the actions of others under incomplete information. Under this framework, a relay-pursuit mechanism is adopted by the pursuit system to form the action set in an energy-efficient way. Then, to reflect the pursuit goals of capturing the invading vehicle as soon as possible and avoid it from reaching its point of attack, two corresponding pursuit factors are considered in the designed reward function. To enable the pursuit AUVs to navigate in an unknown environment, WoLF-PHC algorithm is introduced and applied to the proposed ZSSG-based model. Finally, simulations demonstrate the effectiveness, the advantages, and the robustness of the proposed approach.</p>","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"92 1","pages":""},"PeriodicalIF":5.0000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complex & Intelligent Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s40747-025-01788-x","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Due to the complexity of the underwater environment and the difficulty of the underwater energy recharging, utilizing multiple autonomous underwater vehicles (AUVs) to pursue the invading vehicle is a challenging project. This paper focuses on devising the rational and energy-efficient pursuit motion for a multi-AUV system in an unknown three-dimensional environment. Firstly, the pursuit system model is constructed on the two-player zero-sum stochastic game (ZSSG) framework. This framework enables the fictitious play on the behaviors of the invading AUV. Fictitious play involves players updating their strategies by observing and inferring the actions of others under incomplete information. Under this framework, a relay-pursuit mechanism is adopted by the pursuit system to form the action set in an energy-efficient way. Then, to reflect the pursuit goals of capturing the invading vehicle as soon as possible and avoid it from reaching its point of attack, two corresponding pursuit factors are considered in the designed reward function. To enable the pursuit AUVs to navigate in an unknown environment, WoLF-PHC algorithm is introduced and applied to the proposed ZSSG-based model. Finally, simulations demonstrate the effectiveness, the advantages, and the robustness of the proposed approach.

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
多 AUV 系统的目标追逐:WoLF-PHC 辅助的零和随机博弈
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
Complex & Intelligent Systems
Complex & Intelligent Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
9.60
自引率
10.30%
发文量
297
期刊介绍: Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the broad fields of complex systems, computational simulation, and intelligent analytics and visualization. The transdisciplinary research that the journal focuses on will expand the boundaries of our understanding by investigating the principles and processes that underlie many of the most profound problems facing society today.
期刊最新文献
Target pursuit for multi-AUV system: zero-sum stochastic game with WoLF-PHC assisted Discriminator guided visible-to-infrared image translation A bi-objective optimization approach for scheduling electric ground-handling vehicles in an airport Mamba meets tracker: exploiting token aggregation and diffusion for robust unmanned aerial vehicles tracking AILDP: a research on ship number recognition technology for complex scenarios
×
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