Robust adaptive flocking control of nonlinear multi-agent systems

Wenwu Yu; Guanrong Chen

doi:10.1109/CACSD.2010.5612787

Robust adaptive flocking control of nonlinear multi-agent systems

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

15 Citations (Scopus)

Abstract

This paper studies robust adaptive flocking control of multi-agent systems with nonlinear dynamics. In this setting, the coupling weights, perturbed by asymmetric uncertain parameters, are dynamically updated while the network topology for velocity is fixed. By designing the coupling weights according to the distributed local information on the linked nodes, flock formation can be reached if the network is connected. It is found that flock formation can be achieved if the topology of the updated coupling weights forms a spanning tree. A simulation example is given to illustrate the theoretical analysis. © 2010 IEEE.

Original language	English
Title of host publication	Proceedings of the IEEE International Symposium on Computer-Aided Control System Design
Pages	363-367
DOIs	https://doi.org/10.1109/CACSD.2010.5612787
Publication status	Published - 2010
Event	2010 IEEE International Symposium on Computer-Aided Control System Design, CACSD 2010 - Yokohama, Japan Duration: 8 Sept 2010 → 10 Sept 2010

Conference

Conference	2010 IEEE International Symposium on Computer-Aided Control System Design, CACSD 2010
Place	Japan
City	Yokohama
Period	8/09/10 → 10/09/10

Research Keywords

Adaptive control
Collective potential function
Flokcking algorithm
Multi-agent system
Nonlinear dynamics

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10.1109/CACSD.2010.5612787

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title = "Robust adaptive flocking control of nonlinear multi-agent systems",

abstract = "This paper studies robust adaptive flocking control of multi-agent systems with nonlinear dynamics. In this setting, the coupling weights, perturbed by asymmetric uncertain parameters, are dynamically updated while the network topology for velocity is fixed. By designing the coupling weights according to the distributed local information on the linked nodes, flock formation can be reached if the network is connected. It is found that flock formation can be achieved if the topology of the updated coupling weights forms a spanning tree. A simulation example is given to illustrate the theoretical analysis. {\textcopyright} 2010 IEEE.",

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language = "English",

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AU - Yu, Wenwu

AU - Chen, Guanrong

PY - 2010

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N2 - This paper studies robust adaptive flocking control of multi-agent systems with nonlinear dynamics. In this setting, the coupling weights, perturbed by asymmetric uncertain parameters, are dynamically updated while the network topology for velocity is fixed. By designing the coupling weights according to the distributed local information on the linked nodes, flock formation can be reached if the network is connected. It is found that flock formation can be achieved if the topology of the updated coupling weights forms a spanning tree. A simulation example is given to illustrate the theoretical analysis. © 2010 IEEE.

AB - This paper studies robust adaptive flocking control of multi-agent systems with nonlinear dynamics. In this setting, the coupling weights, perturbed by asymmetric uncertain parameters, are dynamically updated while the network topology for velocity is fixed. By designing the coupling weights according to the distributed local information on the linked nodes, flock formation can be reached if the network is connected. It is found that flock formation can be achieved if the topology of the updated coupling weights forms a spanning tree. A simulation example is given to illustrate the theoretical analysis. © 2010 IEEE.

KW - Adaptive control

KW - Collective potential function

KW - Flokcking algorithm

KW - Multi-agent system

KW - Nonlinear dynamics

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U2 - 10.1109/CACSD.2010.5612787

DO - 10.1109/CACSD.2010.5612787

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424453542

SP - 363

EP - 367

BT - Proceedings of the IEEE International Symposium on Computer-Aided Control System Design

T2 - 2010 IEEE International Symposium on Computer-Aided Control System Design, CACSD 2010

Y2 - 8 September 2010 through 10 September 2010

ER -

Robust adaptive flocking control of nonlinear multi-agent systems

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Research Keywords

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