Consensus based overlapping decentralized estimator

Srdjan S. Stanković; Miloš S. Stanković; Dušan M. Stipanović

doi:10.1109/ACC.2007.4282751

Consensus based overlapping decentralized estimator

Srdjan S. Stanković, Miloš S. Stanković, Dušan M. Stipanović

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper a new algorithm for state estimation is proposed in the form of a multi-agent network based on a synergy between local Kalman filters and a dynamic consensus strategy between the agents. It is shown that it is possible, under very general conditions concerning local resources and the network topology, to achieve asymptotic stability of the whole estimation algorithm by a proper choice of the consensus gains. It is demonstrated that the consensus gains can be obtained by minimizing the total mean-square estimation error. A number of examples illustrate efficiency and applicability of the proposed methodology.

Original language	English (US)
Title of host publication	Proceedings of the 2007 American Control Conference, ACC
Pages	2744-2749
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2007.4282751
State	Published - 2007
Event	2007 American Control Conference, ACC - New York, NY, United States Duration: Jul 9 2007 → Jul 13 2007

Publication series

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

Other

Other	2007 American Control Conference, ACC
Country/Territory	United States
City	New York, NY
Period	7/9/07 → 7/13/07

Keywords

Consensus strategy
Decentralized estimation
Multi-agent systems
Optimization
Overlapping decomposition
Stability analysis

ASJC Scopus subject areas

Electrical and Electronic Engineering

Online availability

10.1109/ACC.2007.4282751

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title = "Consensus based overlapping decentralized estimator",

abstract = "In this paper a new algorithm for state estimation is proposed in the form of a multi-agent network based on a synergy between local Kalman filters and a dynamic consensus strategy between the agents. It is shown that it is possible, under very general conditions concerning local resources and the network topology, to achieve asymptotic stability of the whole estimation algorithm by a proper choice of the consensus gains. It is demonstrated that the consensus gains can be obtained by minimizing the total mean-square estimation error. A number of examples illustrate efficiency and applicability of the proposed methodology.",

keywords = "Consensus strategy, Decentralized estimation, Multi-agent systems, Optimization, Overlapping decomposition, Stability analysis",

author = "Stankovi{\'c}, {Srdjan S.} and Stankovi{\'c}, {Milo{\v s} S.} and Stipanovi{\'c}, {Du{\v s}an M.}",

year = "2007",

doi = "10.1109/ACC.2007.4282751",

language = "English (US)",

isbn = "1424409888",

series = "Proceedings of the American Control Conference",

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booktitle = "Proceedings of the 2007 American Control Conference, ACC",

note = "2007 American Control Conference, ACC ; Conference date: 09-07-2007 Through 13-07-2007",

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TY - GEN

T1 - Consensus based overlapping decentralized estimator

AU - Stanković, Srdjan S.

AU - Stanković, Miloš S.

AU - Stipanović, Dušan M.

PY - 2007

Y1 - 2007

N2 - In this paper a new algorithm for state estimation is proposed in the form of a multi-agent network based on a synergy between local Kalman filters and a dynamic consensus strategy between the agents. It is shown that it is possible, under very general conditions concerning local resources and the network topology, to achieve asymptotic stability of the whole estimation algorithm by a proper choice of the consensus gains. It is demonstrated that the consensus gains can be obtained by minimizing the total mean-square estimation error. A number of examples illustrate efficiency and applicability of the proposed methodology.

AB - In this paper a new algorithm for state estimation is proposed in the form of a multi-agent network based on a synergy between local Kalman filters and a dynamic consensus strategy between the agents. It is shown that it is possible, under very general conditions concerning local resources and the network topology, to achieve asymptotic stability of the whole estimation algorithm by a proper choice of the consensus gains. It is demonstrated that the consensus gains can be obtained by minimizing the total mean-square estimation error. A number of examples illustrate efficiency and applicability of the proposed methodology.

KW - Consensus strategy

KW - Decentralized estimation

KW - Multi-agent systems

KW - Optimization

KW - Overlapping decomposition

KW - Stability analysis

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UR - http://www.scopus.com/inward/citedby.url?scp=46449118930&partnerID=8YFLogxK

U2 - 10.1109/ACC.2007.4282751

DO - 10.1109/ACC.2007.4282751

M3 - Conference contribution

AN - SCOPUS:46449118930

SN - 1424409888

SN - 9781424409884

T3 - Proceedings of the American Control Conference

SP - 2744

EP - 2749

BT - Proceedings of the 2007 American Control Conference, ACC

T2 - 2007 American Control Conference, ACC

Y2 - 9 July 2007 through 13 July 2007

ER -

Consensus based overlapping decentralized estimator

Abstract

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Keywords

ASJC Scopus subject areas

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