Consensus-based distributed receding horizon estimation of sensor networks

Huiping Li, Yang Shi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This paper is concerned with the consensus-based distributed receding horizon estimation (RHE) problem of sensor networks. Firstly, a distributed optimization problem is formulated for each sensor node based on its state and its neighboring information. The explicit solution to each optimization problem is provided, based on which the consensus-based distributed RHE algorithm is designed. The sufficient condition under which the state estimates of all the sensor nodes can reach robust consensus is developed. We show that, under the designed consensus-based estimator, the estimation error of each sensor node converges to a set.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control Conference, CCC 2013
PublisherIEEE Computer Society
Pages7483-7488
Number of pages6
ISBN (Print)9789881563835
StatePublished - 18 Oct 2013
Externally publishedYes
Event32nd Chinese Control Conference, CCC 2013 - Xi'an, China
Duration: 26 Jul 201328 Jul 2013

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference32nd Chinese Control Conference, CCC 2013
Country/TerritoryChina
CityXi'an
Period26/07/1328/07/13

Keywords

  • Distributed estimation
  • receding horizon estimation
  • sensor networks

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