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 | |
| 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 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
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Distributed Fault Detection and Accommodation in Dynamic Average Consensus. / George, Jemin; Elwin, Matthew; 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
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.
ER -