@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.}",
note = "Publisher Copyright: {\textcopyright} 2018 AACC. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 2018 Annual American Control Conference, ACC 2018 ; Conference date: 27-06-2018 Through 29-06-2018",
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",
}