Dynamic average consensus on synchronous communication networks

Minghui Zhu, Sonia Martínez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

We propose a class of dynamic average consensus algorithms that allow a group of agents to track the average of their measured signals. The algorithms are implemented in discrete time and require a synchronous communication schedule. The convergence results rely on the input-to-output stability properties of consensus algorithms and require that the union of communication graphs over a bounded period of time be strongly connected. The only requirement on the set of signals is that the difference of the nth-order derivatives of any two signals be bounded for some n ≥ 0.

Original languageEnglish (US)
Title of host publication2008 American Control Conference, ACC
Pages4382-4387
Number of pages6
DOIs
StatePublished - Sep 30 2008
Event2008 American Control Conference, ACC - Seattle, WA, United States
Duration: Jun 11 2008Jun 13 2008

Publication series

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

Other

Other2008 American Control Conference, ACC
CountryUnited States
CitySeattle, WA
Period6/11/086/13/08

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Zhu, M., & Martínez, S. (2008). Dynamic average consensus on synchronous communication networks. In 2008 American Control Conference, ACC (pp. 4382-4387). [4587184] (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2008.4587184