Discrete-time dynamic average consensus

Minghui Zhu, Sonia Martínez

Research output: Contribution to journalArticle

216 Scopus citations

Abstract

We propose a class of discrete-time dynamic average consensus algorithms that allow a group of agents to track the average of their reference inputs. The convergence results rely on the input-to-output stability properties of static average 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 reference inputs is that the maximum relative deviation between the nth-order differences of any two reference inputs be bounded for some integer n ≥ 1.

Original languageEnglish (US)
Pages (from-to)322-329
Number of pages8
JournalAutomatica
Volume46
Issue number2
DOIs
StatePublished - Feb 1 2010

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Discrete-time dynamic average consensus'. Together they form a unique fingerprint.

  • Cite this