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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Veröffentlicht in:	Journal of systems science and complexity Jg. 36; H. 4; S. 1423 - 1442
Hauptverfasser:	Hu, Jun, Hu, Zhibin, Dong, Hongli, Liu, Hongjian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023 Springer Nature B.V
Schlagworte:	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
Online-Zugang:	Volltext
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