Distributed Fault Detection and Accommodation in Dynamic Average Consensus

Jemin George; Matthew L. Elwin; Randy A. Freeman; Kevin M. Lynch

doi:10.23919/ACC.2018.8431903

Distributed Fault Detection and Accommodation in Dynamic Average Consensus

Jemin George, Matthew L. Elwin, Randy A. Freeman, Kevin M. Lynch

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

3 Scopus citations

Abstract

This paper presents the formulation of fault detection and accommodation schemes for a network of autonomous agents running internal model-based dynamic average consensus algorithms. We focus on two types of consensus algorithms, one that is internally stable but non-robust to initial conditions and one that is robust to initial conditions but not internally stable. For each consensus algorithm, a fault detection filter based on the unknown input observer scheme is developed for precisely estimating the communication faults that occur on the network edges. We then propose a fault remediation scheme so that the agents could reach average consensus even in the presence of communication faults.

Original language	English (US)
Title of host publication	2018 Annual American Control Conference, ACC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5019-5024
Number of pages	6
ISBN (Print)	9781538654286
DOIs	https://doi.org/10.23919/ACC.2018.8431903
State	Published - Aug 9 2018
Event	2018 Annual American Control Conference, ACC 2018 - Milwauke, United States Duration: Jun 27 2018 → Jun 29 2018

Publication series

Name	Proceedings of the American Control Conference
Volume	2018-June
ISSN (Print)	0743-1619

Other

Other	2018 Annual American Control Conference, ACC 2018
Country	United States
City	Milwauke
Period	6/27/18 → 6/29/18

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.23919/ACC.2018.8431903

Fingerprint Dive into the research topics of 'Distributed Fault Detection and Accommodation in Dynamic Average Consensus'. Together they form a unique fingerprint.

Cite this

George, J., Elwin, M. L., Freeman, R. A., & Lynch, K. M. (2018). Distributed Fault Detection and Accommodation in Dynamic Average Consensus. In 2018 Annual American Control Conference, ACC 2018 (pp. 5019-5024). [8431903] (Proceedings of the American Control Conference; Vol. 2018-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC.2018.8431903

@inproceedings{a28ab6228ece40b594ead7dd98385a6f,

title = "Distributed Fault Detection and Accommodation in Dynamic Average Consensus",

abstract = "This paper presents the formulation of fault detection and accommodation schemes for a network of autonomous agents running internal model-based dynamic average consensus algorithms. We focus on two types of consensus algorithms, one that is internally stable but non-robust to initial conditions and one that is robust to initial conditions but not internally stable. For each consensus algorithm, a fault detection filter based on the unknown input observer scheme is developed for precisely estimating the communication faults that occur on the network edges. We then propose a fault remediation scheme so that the agents could reach average consensus even in the presence of communication faults.",

author = "Jemin George and Elwin, {Matthew L.} and Freeman, {Randy A.} and Lynch, {Kevin M.}",

year = "2018",

month = aug,

day = "9",

doi = "10.23919/ACC.2018.8431903",

language = "English (US)",

isbn = "9781538654286",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5019--5024",

booktitle = "2018 Annual American Control Conference, ACC 2018",

address = "United States",

note = "2018 Annual American Control Conference, ACC 2018 ; Conference date: 27-06-2018 Through 29-06-2018",

}

George, J, Elwin, ML , Freeman, RA & Lynch, KM 2018, Distributed Fault Detection and Accommodation in Dynamic Average Consensus. in 2018 Annual American Control Conference, ACC 2018., 8431903, Proceedings of the American Control Conference, vol. 2018-June, Institute of Electrical and Electronics Engineers Inc., pp. 5019-5024, 2018 Annual American Control Conference, ACC 2018, Milwauke, United States, 6/27/18. https://doi.org/10.23919/ACC.2018.8431903

Distributed Fault Detection and Accommodation in Dynamic Average Consensus. / George, Jemin; Elwin, Matthew L.; Freeman, Randy A.; Lynch, Kevin M.

2018 Annual American Control Conference, ACC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 5019-5024 8431903 (Proceedings of the American Control Conference; Vol. 2018-June).

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

TY - GEN

T1 - Distributed Fault Detection and Accommodation in Dynamic Average Consensus

AU - George, Jemin

AU - Elwin, Matthew L.

AU - Freeman, Randy A.

AU - Lynch, Kevin M.

PY - 2018/8/9

Y1 - 2018/8/9

N2 - This paper presents the formulation of fault detection and accommodation schemes for a network of autonomous agents running internal model-based dynamic average consensus algorithms. We focus on two types of consensus algorithms, one that is internally stable but non-robust to initial conditions and one that is robust to initial conditions but not internally stable. For each consensus algorithm, a fault detection filter based on the unknown input observer scheme is developed for precisely estimating the communication faults that occur on the network edges. We then propose a fault remediation scheme so that the agents could reach average consensus even in the presence of communication faults.

AB - This paper presents the formulation of fault detection and accommodation schemes for a network of autonomous agents running internal model-based dynamic average consensus algorithms. We focus on two types of consensus algorithms, one that is internally stable but non-robust to initial conditions and one that is robust to initial conditions but not internally stable. For each consensus algorithm, a fault detection filter based on the unknown input observer scheme is developed for precisely estimating the communication faults that occur on the network edges. We then propose a fault remediation scheme so that the agents could reach average consensus even in the presence of communication faults.

UR - http://www.scopus.com/inward/record.url?scp=85052569113&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85052569113&partnerID=8YFLogxK

U2 - 10.23919/ACC.2018.8431903

DO - 10.23919/ACC.2018.8431903

M3 - Conference contribution

AN - SCOPUS:85052569113

SN - 9781538654286

T3 - Proceedings of the American Control Conference

SP - 5019

EP - 5024

BT - 2018 Annual American Control Conference, ACC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 Annual American Control Conference, ACC 2018

Y2 - 27 June 2018 through 29 June 2018

ER -