Global robust distributed output consensus of multi-agent nonlinear systems

An internal model approach

Dabo Xu, Xinghu Wang, Yiguang Hong, Zhong-Ping Jiang

Research output: Contribution to journalArticle

Abstract

This paper studies the problem of global robust distributed output consensus of heterogeneous leader-follower multi-agent nonlinear systems by general directed output interactions. For a class of minimum-phase single-input single-output nonlinear agents having unity relative degree, it is shown that the problem is solvable by an internal model approach under certain mild conditions. A Lyapunov function based output-feedback control law is developed by converting the global output consensus into a global distributed stabilization problem for an augmented network.

Original languageEnglish (US)
Pages (from-to)64-69
Number of pages6
JournalSystems and Control Letters
Volume87
DOIs
StatePublished - Jan 1 2016

Fingerprint

Lyapunov functions
Feedback control
Nonlinear systems
Stabilization

Keywords

  • Consensus
  • Distributed stabilization
  • Multi-agent systems
  • Nonlinear systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Computer Science(all)
  • Mechanical Engineering

Cite this

Global robust distributed output consensus of multi-agent nonlinear systems : An internal model approach. / Xu, Dabo; Wang, Xinghu; Hong, Yiguang; Jiang, Zhong-Ping.

In: Systems and Control Letters, Vol. 87, 01.01.2016, p. 64-69.

Research output: Contribution to journalArticle

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