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Distributed Robust Dynamic Average Consensus with Dynamic Event-Triggered Communication
US Army Res Lab, Adelphi, MD 20783 USA..
KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre.
Univ North Texas, Dept Elect Engn, Denton, TX 76203 USA..
2018 (English)In: 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), IEEE , 2018, p. 434-439Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the formulation and analysis of a fully distributed dynamic event-triggered communication based robust dynamic average consensus algorithm. Dynamic average consensus problem involves a networked set of agents estimating the time-varying average of dynamic reference signals locally available to individual agents. We propose an asymptotically stable solution to the dynamic average consensus problem that is robust to network disruptions. Since this robust algorithm requires continuous communication among agents, we introduce a novel dynamic event-triggered communication scheme to reduce the overall inter-agent communications. It is shown that the event-triggered algorithm is asymptotically stable and free of Zeno behavior. Numerical simulations are provided to illustrate the effectiveness of the proposed algorithm.

Place, publisher, year, edition, pages
IEEE , 2018. p. 434-439
Series
IEEE Conference on Decision and Control, ISSN 0743-1546
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-245002DOI: 10.1109/CDC.2018.8619021ISI: 000458114800061Scopus ID: 2-s2.0-85062187680ISBN: 978-1-5386-1395-5 (print)OAI: oai:DiVA.org:kth-245002DiVA, id: diva2:1293712
Conference
57th IEEE Conference on Decision and Control (CDC), DEC 17-19, 2018, Miami Beach, FL
Note

QC 20190305

Available from: 2019-03-05 Created: 2019-03-05 Last updated: 2019-04-11Bibliographically approved

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Yi, Xinlei

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CiteExportLink to record
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Citation style
  • apa
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Language
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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