Data-Driven Distributed Information-Weighted Consensus Filtering in Discrete-Time Sensor Networks With Switching Topologies

This article proposes a data-driven distributed filtering method based on the consensus protocol and information-weighted strategy for discrete-time sensor networks with switching topologies. By introducing a data-driven method, a linear-like state equation is designed by utilizing only the input an...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 53; H. 12; S. 7548 - 7559
Hauptverfasser:	Ji, Honghai, Wei, Yuzhou, Fan, Lingling, Liu, Shida, Hou, Zhongsheng, Wang, Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Data-driven identification distributed state estimation Equations of state Estimation Filtration Kalman filters Mathematical models Network topologies Network topology nonlinear filtering Optimization Parameter identification sensor networks State estimation Switches Switching switching topologies Topology
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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