A distributed robust adaptive consensus for leaderless and leader-following nonlinear multi-agent systems with disturbances and time-delay dynamics

Wataru Goda, Hiromitsu Ohmori

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

3 Citations (Scopus)

Abstract

This paper considers the robust consensus problem of Lipschitz nonlinear multi-agent systems with matched disturbances and time-delay dynamics. By LMI approach based on Lyapunov function, distributed adaptive protocols are proposed, which rely on the state information of neighbor agents. Theoretical analysis indicates that the proposed protocol achieve both the leaderless and leader-following consensus. Finally, a simulation example of networks with time-delay feedback Chua' circuit illustrate the effectiveness of the theoretical results.

Original languageEnglish
Title of host publication2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages525-530
Number of pages6
ISBN (Electronic)9784907764579
DOIs
Publication statusPublished - 2017 Nov 10
Event56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
Duration: 2017 Sept 192017 Sept 22

Publication series

Name2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Volume2017-November

Other

Other56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Country/TerritoryJapan
CityKanazawa
Period17/9/1917/9/22

Keywords

  • Lipschitz nonlinearity
  • Multi-agent systems
  • adaptive control
  • consensus
  • robust control
  • time-delay

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Control and Systems Engineering
  • Instrumentation

Fingerprint

Dive into the research topics of 'A distributed robust adaptive consensus for leaderless and leader-following nonlinear multi-agent systems with disturbances and time-delay dynamics'. Together they form a unique fingerprint.

Cite this