Multiscale consensus for decentralized estimation and its application to building systems

Jong Han Kim, Matthew West, Eelco Scholte, Satish Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multiscale approaches to accelerate the convergence of decentralized consensus problems are introduced. Consecutive consensus iterations are executed on several scales to achieve fast convergence for networks with poor connectivity. As an example the proposed algorithm is applied to the decentralized Kalman filtering problem for estimation of contaminants in building systems. Two conventional observers are designed and convergence is compared with respect to the number of communications necessary, which is an effective measure of system complexity. It is demonstrated that the proposed multiscale scheme substantially accelerates the decentralized consensus. Future extensions and directions are briefly summarized.

Original languageEnglish (US)
Title of host publication2008 American Control Conference, ACC
Pages888-893
Number of pages6
DOIs
StatePublished - Sep 30 2008
Event2008 American Control Conference, ACC - Seattle, WA, United States
Duration: Jun 11 2008Jun 13 2008

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2008 American Control Conference, ACC
CountryUnited States
CitySeattle, WA
Period6/11/086/13/08

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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