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....

Full description

Saved in:

Bibliographic Details
Published in:	Journal of systems science and complexity Vol. 36; no. 4; pp. 1423 - 1442
Main Authors:	Hu, Jun, Hu, Zhibin, Dong, Hongli, Liu, Hongjian
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023 Springer Nature B.V
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!