University of Leicester
Browse
1/1
2 files

Distributed Fusion Estimation for Stochastic Uncertain Systems With Network-Induced Complexity and Multiple Noise

Download all (1.2 MB)
journal contribution
posted on 2021-05-24, 10:37 authored by L Liu, W Zhou, M Fei, Z Yang, H Yang, H Zhou
This article investigates an issue of distributed fusion estimation under network-induced complexity and stochastic parameter uncertainties. First, a novel signal selection method based on event trigger is developed to handle network-induced packet dropouts, as well as packet disorders resulting from random transmission delays, where the H₂/H∞ performance of the system is analyzed in different noise environments. In addition, a linear delay compensation strategy is further employed for solving the complex network-induced problem, which may deteriorate system performance. Moreover, a weighted fusion scheme is used to integrate multiple resources through an error cross-covariance matrix. Several case studies validate the proposed algorithm and demonstrate satisfactory system performance in target tracking.

Funding

This work was supported in part by National Natural Science Foundationof China under Grant 61903172, 61877065, 61872170, 52077213, 62003332,61633016, in part by the Major Basic Research Project of the Natural ScienceFoundation of Shandong Province of China under Grant ZR2018ZC0438,in part by the Natural Science Foundation of Guangdong under Grant2018A030310671, in part by the Outstanding Young Researcher InnovationFund of Shenzhen Institute of Advanced Technology, Chinese Academy ofSciences under Grant 201822. (Corresponding authors: Li Liu; Wenju Zhou

History

Author affiliation

School of Informatics

Version

  • AM (Accepted Manuscript)

Published in

IEEE Transactions on Cybernetics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

issn

2168-2267

eissn

2168-2275

Acceptance date

2021-02-02

Copyright date

2021

Available date

2021-05-24

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC