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dc.contributor.authorYan, H
dc.contributor.authorLi, P
dc.contributor.authorZhang, H
dc.contributor.authorZhan, X
dc.contributor.authorYang, F
dc.description.abstractIn this paper, the event-triggered distributed Kalman filtering problem is considered for a class of networked multisensor fusion systems (NMFSs) under sensor energy and network bandwidth constraint. A general event-triggered scheme is employed for the NMFSs to reduce the energy consumption and communication burden between the sensor nodes and fusion center (FC) under the communication bandwidth constraints. Local estimation information is allowed to transmit partial components to FC over the network with limited bandwidth. A group of binary variables are introduced to describe the component transmitting process when the triggering condition is violated. Furthermore, the untransmitted local estimation signals are compensated by the previous transmitted one, and a recursively event-triggered distributed fusion Kalman filter in the linear minimum mean square error sense is designed from the restructured local unbiased estimators. At each time instant, a set of binary variables are determined by an optimal judgement criterion. Finally, a simulation example is provided to illustrate the effectiveness and advantages of the proposed methods.
dc.relation.ispartofjournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
dc.subject.fieldofresearchInformation and Computing Sciences not elsewhere classified
dc.titleEvent-Triggered Distributed Fusion Estimation of Networked Multisensor Systems With Limited Information
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.description.notepublicThis publication has been entered into Griffith Research Online as an Advanced Online Version.
gro.hasfulltextNo Full Text
gro.griffith.authorYang, Fuwen

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