Distributed Resilient Fusion Filtering for Nonlinear Systems with Random Sensor Delays: Optimized Algorithm Design and Boundedness Analysis

This paper is concerned with the distributed resilient fusion filtering (DRFF) problem for a class of time-varying multi-sensor nonlinear stochastic systems (MNSSs) with random sensor delays (RSDs). The phenomenon of the RSDs is modeled by a set of random variables with certain statistical features....

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Vydáno v:	Journal of systems science and complexity Ročník 36; číslo 4; s. 1423 - 1442
Hlavní autoři:	Hu, Jun, Hu, Zhibin, Dong, Hongli, Liu, Hongjian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023 Springer Nature B.V
Témata:	Algorithms Complex Systems Control Design optimization Filtration Mathematics Mathematics and Statistics Mathematics of Computing Nonlinear systems Operations Research/Decision Theory Perturbation Random variables Sensors Statistics Stochastic systems Systems Theory Taylor series Upper bounds matrix-weighted fusion nonlinear time-varying systems random sensor delays Distributed resilient fusion filtering
ISSN:	1009-6124, 1559-7067
On-line přístup:	Získat plný text
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