{"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":"2 1","pages":""},"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}
引用次数: 0
Abstract
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.
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.