{"title":"Deadbeat Consensus Prediction for Multiagent Systems Using Intermittent Local Information","authors":"Fulong Hu;Hai-Tao Zhang;Yang Tang","doi":"10.1109/TCNS.2024.3378478","DOIUrl":null,"url":null,"abstract":"In this article, discrete-time high-order linear dynamics of multiagent systems (MASs) is considered. A distributed minimal-time deadbeat consensus prediction (MDCP) algorithm is proposed that allows each agent to calculate the consensus value of an MAS merely by using the shortest intermittent information series from itself and neighboring agents. The challenge of MDCP lies in revealing the relationship between the consensus item of state <inline-formula><tex-math>$\\mathcal {Z}$</tex-math></inline-formula>-transform and the annihilating polynomial of the matrix pair with intermittent information. Sufficient conditions are derived to guarantee the feasibility of the present MDCP. Finally, both the effectiveness and the superiority of the proposed MDCP are substantiated by numerical simulations.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"11 4","pages":"2151-2159"},"PeriodicalIF":5.0000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control of Network Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10474168/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, discrete-time high-order linear dynamics of multiagent systems (MASs) is considered. A distributed minimal-time deadbeat consensus prediction (MDCP) algorithm is proposed that allows each agent to calculate the consensus value of an MAS merely by using the shortest intermittent information series from itself and neighboring agents. The challenge of MDCP lies in revealing the relationship between the consensus item of state $\mathcal {Z}$-transform and the annihilating polynomial of the matrix pair with intermittent information. Sufficient conditions are derived to guarantee the feasibility of the present MDCP. Finally, both the effectiveness and the superiority of the proposed MDCP are substantiated by numerical simulations.
期刊介绍：
The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
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