Global robust distributed output consensus of multi-agent nonlinear systems: An internal model approach

Dabo Xu; Xinghu Wang; Yiguang Hong; Zhong Ping Jiang

doi:10.1016/j.sysconle.2015.11.002

Global robust distributed output consensus of multi-agent nonlinear systems: An internal model approach

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

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	64-69
Number of pages	6
Journal	Systems and Control Letters
Volume	87
DOIs	https://doi.org/10.1016/j.sysconle.2015.11.002
State	Published - Jan 2016

Keywords

Consensus
Distributed stabilization
Multi-agent systems
Nonlinear systems

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science
Mechanical Engineering
Electrical and Electronic Engineering

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10.1016/j.sysconle.2015.11.002

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title = "Global robust distributed output consensus of multi-agent nonlinear systems: An internal model approach",

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.",

keywords = "Consensus, Distributed stabilization, Multi-agent systems, Nonlinear systems",

author = "Dabo Xu and Xinghu Wang and Yiguang Hong and Jiang, {Zhong Ping}",

note = "Publisher Copyright: {\textcopyright} 2015 Elsevier B.V.",

year = "2016",

month = jan,

doi = "10.1016/j.sysconle.2015.11.002",

language = "English (US)",

volume = "87",

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journal = "Systems and Control Letters",

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T1 - Global robust distributed output consensus of multi-agent nonlinear systems

T2 - An internal model approach

AU - Xu, Dabo

AU - Wang, Xinghu

AU - Hong, Yiguang

AU - Jiang, Zhong Ping

PY - 2016/1

Y1 - 2016/1

N2 - 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.

AB - 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.

KW - Consensus

KW - Distributed stabilization

KW - Multi-agent systems

KW - Nonlinear systems

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DO - 10.1016/j.sysconle.2015.11.002

M3 - Article

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SN - 0167-6911

VL - 87

SP - 64

EP - 69

JO - Systems and Control Letters

JF - Systems and Control Letters

ER -

Global robust distributed output consensus of multi-agent nonlinear systems: An internal model approach

Abstract

Keywords

ASJC Scopus subject areas

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