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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on cybernetics Ročník 53; číslo 12; s. 7548 - 7559
Hlavní autori:	Ji, Honghai, Wei, Yuzhou, Fan, Lingling, Liu, Shida, Hou, Zhongsheng, Wang, Li
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!