A fast robust nonlinear dynamic average consensus estimator in discrete time

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations


We present a new discrete-time dynamic average consensus estimator which has significant performance advantages over existing designs. It uses nonlinear oscillators to achieve both initialization robustness and internal boundedness, and its convergence rates are comparable to those of fast static consensus methods. Its primary disadvantage is that it cannot generally track averages of unbounded inputs with bounded error.

Original languageEnglish (US)
Pages (from-to)191-196
Number of pages6
Issue number22
StatePublished - Oct 1 2015
Event5th IFAC Workshop on Distributed Estimation and Control in Networked Systems, NecSys 2015 - Philadelphia, United States
Duration: Sep 10 2015Sep 11 2015


  • Dynamic average consensus
  • Robust estimator design
  • Synchronization of oscillators

ASJC Scopus subject areas

  • Control and Systems Engineering

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