Consensus of heterogeneous multiple integrator agents on directed graphs

Abdelkader Abdessameud, Abdelhamid Tayebi

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

3 Scopus citations

Abstract

This paper considers the consensus problem of heterogeneous high-order multi-agent systems, described by multiple integrator dynamics with mixed order, under general directed graphs. We propose a state-feedback-based distributed consensus algorithm that achieves consensus without topology-dependent conditions. It is shown that consensus is reached under a necessary and sufficient condition of an interconnection graph having a spanning tree. As a result, the proposed approach relaxes some restrictive assumptions, commonly considered in the literature, on the availability of global information for all agents and on the type of information shared among agents.

Original languageEnglish (US)
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3437-3442
Number of pages6
ISBN (Electronic)9781509028733
DOIs
StatePublished - Jun 28 2017
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: Dec 12 2017Dec 15 2017

Publication series

Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Volume2018-January

Other

Other56th IEEE Annual Conference on Decision and Control, CDC 2017
Country/TerritoryAustralia
CityMelbourne
Period12/12/1712/15/17

All Science Journal Classification (ASJC) codes

  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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