Distributed H∞-consensus filtering with sensor networks: A finite horizon solution

Weike Shang; Yu Kang; Hongsheng Xi; Yuanqing Xia; Yun Bo Zhao

doi:10.1093/imamci/dns045

Distributed H_∞-consensus filtering with sensor networks: A finite horizon solution

Weike Shang
, Yu Kang^*
, Hongsheng Xi
, Yuanqing Xia
, Yun Bo Zhao

^*Corresponding author for this work

School of Automation

University of Science and Technology of China
Imperial College London

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

The distributed H_∞-consensus filtering problem is investigated for a class of discrete time-varying non-linear systems on a finite horizon. The topology of the sensor networks is assumed to be Markovian switching and the missing measurements (packet dropouts) problem is also considered. Based on the recursive linear matrix inequalities, an effective distributed H_∞-consensus filter is designed, which is suitable for online computation. A numerical example is given to verify the effectiveness of the obtained results.

Original language	English
Pages (from-to)	33-49
Number of pages	17
Journal	IMA Journal of Mathematical Control and Information
Volume	31
Issue number	1
DOIs	https://doi.org/10.1093/imamci/dns045
Publication status	Published - Mar 2014

Keywords

Markov switching
missing measurements
recursive linear matrix inequalities
sensor networks

Access to Document

10.1093/imamci/dns045

Cite this

@article{0abb905a601d4004acdb358826edf515,

title = "Distributed H∞-consensus filtering with sensor networks: A finite horizon solution",

abstract = "The distributed H∞-consensus filtering problem is investigated for a class of discrete time-varying non-linear systems on a finite horizon. The topology of the sensor networks is assumed to be Markovian switching and the missing measurements (packet dropouts) problem is also considered. Based on the recursive linear matrix inequalities, an effective distributed H∞-consensus filter is designed, which is suitable for online computation. A numerical example is given to verify the effectiveness of the obtained results.",

keywords = "Markov switching, missing measurements, recursive linear matrix inequalities, sensor networks",

author = "Weike Shang and Yu Kang and Hongsheng Xi and Yuanqing Xia and Zhao, \{Yun Bo\}",

year = "2014",

month = mar,

doi = "10.1093/imamci/dns045",

language = "English",

volume = "31",

pages = "33--49",

journal = "IMA Journal of Mathematical Control and Information",

issn = "0265-0754",

publisher = "Oxford University Press",

number = "1",

}

TY - JOUR

T1 - Distributed H∞-consensus filtering with sensor networks

T2 - A finite horizon solution

AU - Shang, Weike

AU - Kang, Yu

AU - Xi, Hongsheng

AU - Xia, Yuanqing

AU - Zhao, Yun Bo

PY - 2014/3

Y1 - 2014/3

N2 - The distributed H∞-consensus filtering problem is investigated for a class of discrete time-varying non-linear systems on a finite horizon. The topology of the sensor networks is assumed to be Markovian switching and the missing measurements (packet dropouts) problem is also considered. Based on the recursive linear matrix inequalities, an effective distributed H∞-consensus filter is designed, which is suitable for online computation. A numerical example is given to verify the effectiveness of the obtained results.

AB - The distributed H∞-consensus filtering problem is investigated for a class of discrete time-varying non-linear systems on a finite horizon. The topology of the sensor networks is assumed to be Markovian switching and the missing measurements (packet dropouts) problem is also considered. Based on the recursive linear matrix inequalities, an effective distributed H∞-consensus filter is designed, which is suitable for online computation. A numerical example is given to verify the effectiveness of the obtained results.

KW - Markov switching

KW - missing measurements

KW - recursive linear matrix inequalities

KW - sensor networks

UR - https://www.scopus.com/pages/publications/84897001526

U2 - 10.1093/imamci/dns045

DO - 10.1093/imamci/dns045

M3 - Article

AN - SCOPUS:84897001526

SN - 0265-0754

VL - 31

SP - 33

EP - 49

JO - IMA Journal of Mathematical Control and Information

JF - IMA Journal of Mathematical Control and Information

IS - 1

ER -

Distributed H_∞-consensus filtering with sensor networks: A finite horizon solution

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this