A leader‐follower communication protocol for motion planning in partially known environments under temporal logic specifications

Xiaohong Yan, Yingying Liu, Renwen Chen, Wei Duan
{"title":"A leader‐follower communication protocol for motion planning in partially known environments under temporal logic specifications","authors":"Xiaohong Yan, Yingying Liu, Renwen Chen, Wei Duan","doi":"10.1049/cth2.12636","DOIUrl":null,"url":null,"abstract":"This paper considers the problem of communication protocols between leaders and its followers for motion planning in an initially partially known environment. In this setting, the leader observes the environment information to satisfy its own local objective and and the follower completes its own local objective by estimating the states of the leader and communicating with the leader to update its knowledge about the environment when it is necessary, where the local objectives can be expressed in temporal logic. A verifier construction is built first to contain all possible communication protocols between the leaders and the followers. Then, a two‐step synthesis procedure is proposed to capture all feasible communication protocol that satisfy the local objectives for the leader and follower, respectively. In the first step, a sub‐verifier is synthesized to satisfy the objective of the follower. In the second step, based on the obtained sub‐verifier, an iterative algorithm is proposed to extract communication protocols such that the objectives of the leader and follower are satisfied, respectively. A running example is provided to illustrate the proposed procedures.","PeriodicalId":502998,"journal":{"name":"IET Control Theory & Applications","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Control Theory & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/cth2.12636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper considers the problem of communication protocols between leaders and its followers for motion planning in an initially partially known environment. In this setting, the leader observes the environment information to satisfy its own local objective and and the follower completes its own local objective by estimating the states of the leader and communicating with the leader to update its knowledge about the environment when it is necessary, where the local objectives can be expressed in temporal logic. A verifier construction is built first to contain all possible communication protocols between the leaders and the followers. Then, a two‐step synthesis procedure is proposed to capture all feasible communication protocol that satisfy the local objectives for the leader and follower, respectively. In the first step, a sub‐verifier is synthesized to satisfy the objective of the follower. In the second step, based on the obtained sub‐verifier, an iterative algorithm is proposed to extract communication protocols such that the objectives of the leader and follower are satisfied, respectively. A running example is provided to illustrate the proposed procedures.
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
时间逻辑规范下部分已知环境中运动规划的领导者-追随者通信协议
本文探讨了在初始部分已知的环境中进行运动规划时,领导者与其追随者之间的通信协议问题。在这种情况下,领导者通过观察环境信息来满足自己的局部目标,而追随者则通过估计领导者的状态来完成自己的局部目标,并在必要时与领导者通信以更新其对环境的了解。首先要建立一个验证器结构,以包含领导者和追随者之间所有可能的通信协议。然后,提出一个两步合成程序,分别捕获满足领导者和跟随者本地目标的所有可行通信协议。第一步,合成一个子验证器,以满足追随者的目标。第二步,根据得到的子验证器,提出一种迭代算法来提取通信协议,从而分别满足领导者和追随者的目标。本文提供了一个运行示例来说明所建议的程序。
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
自引率
0.00%
发文量
0
期刊最新文献
Innovative hull cleaning robot design and control by Laguerre base model predictive control for impedance and vibration management Optimal data injection attack design for spacecraft systems via a model free Q‐learning approach Lightweight environment sensing algorithm for intelligent driving based on improved YOLOv7 Enhanced LSTM‐DQN algorithm for a two‐player zero‐sum game in three‐dimensional space Robust optimal tracking control of multiple autonomous underwater vehicles subject to uncertain disturbances
×
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