多智能体网络感知系统的可观测性

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS Mechatronic Systems and Control Pub Date : 2019-11-26 DOI:10.1115/dscc2019-9138
I. Raptis, Clark N. Taylor
{"title":"多智能体网络感知系统的可观测性","authors":"I. Raptis, Clark N. Taylor","doi":"10.1115/dscc2019-9138","DOIUrl":null,"url":null,"abstract":"\n This work addresses the observability properties of linear time-invariant systems that are monitored by a sensor network that provides access only to relative measurements and partial absolute observations of the state-space variables. Graph-theoretical tools are deployed to represent the information sharing links between the sensors of the network. The results are extended to multi-agent coordinated systems that are independently controlled or execute distributed control protocols. Explicit analytical conditions are derived that determine the system’s observability with respect to the spectral characteristics of the information-sharing network. The system’s observability is further investigated for multi-agent systems governed by the agreement dynamics where only a singleton measurement is available. The analysis is disseminated to the design of distributed observers where the agents have only available their relative displacement measurement from their neighbors. The distributed observer’s estimation error is rendered globally asymptotically stable by the addition of an anchor node that has access to the absolute motion of a single agent (node). The theoretical analysis is validated through numerical simulations.","PeriodicalId":41412,"journal":{"name":"Mechatronic Systems and Control","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2019-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Observability of Multi-Agent Network Sensing Systems\",\"authors\":\"I. Raptis, Clark N. Taylor\",\"doi\":\"10.1115/dscc2019-9138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n This work addresses the observability properties of linear time-invariant systems that are monitored by a sensor network that provides access only to relative measurements and partial absolute observations of the state-space variables. Graph-theoretical tools are deployed to represent the information sharing links between the sensors of the network. The results are extended to multi-agent coordinated systems that are independently controlled or execute distributed control protocols. Explicit analytical conditions are derived that determine the system’s observability with respect to the spectral characteristics of the information-sharing network. The system’s observability is further investigated for multi-agent systems governed by the agreement dynamics where only a singleton measurement is available. The analysis is disseminated to the design of distributed observers where the agents have only available their relative displacement measurement from their neighbors. The distributed observer’s estimation error is rendered globally asymptotically stable by the addition of an anchor node that has access to the absolute motion of a single agent (node). The theoretical analysis is validated through numerical simulations.\",\"PeriodicalId\":41412,\"journal\":{\"name\":\"Mechatronic Systems and Control\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2019-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mechatronic Systems and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/dscc2019-9138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechatronic Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/dscc2019-9138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

这项工作解决了线性时不变系统的可观测性,该系统由传感器网络监测,仅提供对状态空间变量的相对测量和部分绝对观测的访问。使用图理论工具来表示网络传感器之间的信息共享链接。结果可扩展到独立控制或执行分布式控制协议的多智能体协调系统。导出了确定系统相对于信息共享网络光谱特征的可观测性的显式分析条件。系统的可观察性进一步研究了由协议动力学控制的多智能体系统,其中只有单一测量可用。该分析被传播到分布式观测器的设计中,其中代理只能从其邻居处获得相对位移测量。通过添加一个可以访问单个代理(节点)的绝对运动的锚节点,使分布式观测器的估计误差全局渐近稳定。通过数值模拟验证了理论分析的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Observability of Multi-Agent Network Sensing Systems
This work addresses the observability properties of linear time-invariant systems that are monitored by a sensor network that provides access only to relative measurements and partial absolute observations of the state-space variables. Graph-theoretical tools are deployed to represent the information sharing links between the sensors of the network. The results are extended to multi-agent coordinated systems that are independently controlled or execute distributed control protocols. Explicit analytical conditions are derived that determine the system’s observability with respect to the spectral characteristics of the information-sharing network. The system’s observability is further investigated for multi-agent systems governed by the agreement dynamics where only a singleton measurement is available. The analysis is disseminated to the design of distributed observers where the agents have only available their relative displacement measurement from their neighbors. The distributed observer’s estimation error is rendered globally asymptotically stable by the addition of an anchor node that has access to the absolute motion of a single agent (node). The theoretical analysis is validated through numerical simulations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Mechatronic Systems and Control
Mechatronic Systems and Control AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.40
自引率
66.70%
发文量
27
期刊介绍: This international journal publishes both theoretical and application-oriented papers on various aspects of mechatronic systems, modelling, design, conventional and intelligent control, and intelligent systems. Application areas of mechatronics may include robotics, transportation, energy systems, manufacturing, sensors, actuators, and automation. Techniques of artificial intelligence may include soft computing (fuzzy logic, neural networks, genetic algorithms/evolutionary computing, probabilistic methods, etc.). Techniques may cover frequency and time domains, linear and nonlinear systems, and deterministic and stochastic processes. Hybrid techniques of mechatronics that combine conventional and intelligent methods are also included. First published in 1972, this journal originated with an emphasis on conventional control systems and computer-based applications. Subsequently, with rapid advances in the field and in view of the widespread interest and application of soft computing in control systems, this latter aspect was integrated into the journal. Now the area of mechatronics is included as the main focus. A unique feature of the journal is its pioneering role in bridging the gap between conventional systems and intelligent systems, with an equal emphasis on theory and practical applications, including system modelling, design and instrumentation. It appears four times per year.
期刊最新文献
APPLICATION OF MULTIAXIAL CNC TECHNOLOGY IN PRECISION MOLD MANUFACTURING, 1-9. TRAJECTORY TRACKING OF NONHOLONOMIC CONSTRAINT MOBILE ROBOT BASED ON ADRC INTERNET INFORMATION COLLECTION AND DATA ANALYSIS BASED ON ARTIFICIAL INTELLIGENCE, 1-9. SI DESIGN ON TRACTION BRAKING CHARACTERISTICS TEST OF TRACTION MOTOR FOR RAIL TRANSIT, 1-9. MODELLING AND SIMULATION OF FRICTION RESISTANCE OF SUPERHYDROPHOBIC SURFACE MICROSTRUCTURE, 202-209.
×
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