An inner and outer brain model used in multi-agent distributed formation control

Kaixin Zhao; Chaoying Zhang; Yaping Dai; Xuemei Yang; Kaoru Hirota

An inner and outer brain model used in multi-agent distributed formation control

Kaixin Zhao, Chaoying Zhang, Yaping Dai^*, Xuemei Yang, Kaoru Hirota

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

An inner and outer brain model for the multi-agent system used in distributed formation control is proposed, where the inner brain of each follower is set up according to state information about itself and adjacent agents, the outer brain is set up in all of the agents except leader combined with topology structure multiple agents information. The interaction information about agents will be reduced by adopted the model, and the anti-interference ability is also improved on the system. Experiment environment is consisted by one leader and four followers, and results show that 10.00% (compared with the Traditional algorithm, Ring topology), 25.00% (compared with the Traditional algorithm, Mixed type topology), 43.75% (compared with the Traditional algorithm, Net topology) information transform amount is reduced and the effect of control performance keep as original on the basis of the classical formation control effect.

Original language	English
Publication status	Published - 2017
Event	5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017 - Beijing, China Duration: 2 Nov 2017 → 5 Nov 2017

Conference

Conference	5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017
Country/Territory	China
City	Beijing
Period	2/11/17 → 5/11/17

Keywords

Distributed Formation Control
Inner and Outer Brain
Multi-agent System
Topology Structure

Cite this

@conference{9f9c7e234c8844448fe3bfe0eee6dc29,

title = "An inner and outer brain model used in multi-agent distributed formation control",

abstract = "An inner and outer brain model for the multi-agent system used in distributed formation control is proposed, where the inner brain of each follower is set up according to state information about itself and adjacent agents, the outer brain is set up in all of the agents except leader combined with topology structure multiple agents information. The interaction information about agents will be reduced by adopted the model, and the anti-interference ability is also improved on the system. Experiment environment is consisted by one leader and four followers, and results show that 10.00\% (compared with the Traditional algorithm, Ring topology), 25.00\% (compared with the Traditional algorithm, Mixed type topology), 43.75\% (compared with the Traditional algorithm, Net topology) information transform amount is reduced and the effect of control performance keep as original on the basis of the classical formation control effect.",

keywords = "Distributed Formation Control, Inner and Outer Brain, Multi-agent System, Topology Structure",

author = "Kaixin Zhao and Chaoying Zhang and Yaping Dai and Xuemei Yang and Kaoru Hirota",

year = "2017",

language = "English",

note = "5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017 ; Conference date: 02-11-2017 Through 05-11-2017",

}

TY - CONF

T1 - An inner and outer brain model used in multi-agent distributed formation control

AU - Zhao, Kaixin

AU - Zhang, Chaoying

AU - Dai, Yaping

AU - Yang, Xuemei

AU - Hirota, Kaoru

PY - 2017

Y1 - 2017

N2 - An inner and outer brain model for the multi-agent system used in distributed formation control is proposed, where the inner brain of each follower is set up according to state information about itself and adjacent agents, the outer brain is set up in all of the agents except leader combined with topology structure multiple agents information. The interaction information about agents will be reduced by adopted the model, and the anti-interference ability is also improved on the system. Experiment environment is consisted by one leader and four followers, and results show that 10.00% (compared with the Traditional algorithm, Ring topology), 25.00% (compared with the Traditional algorithm, Mixed type topology), 43.75% (compared with the Traditional algorithm, Net topology) information transform amount is reduced and the effect of control performance keep as original on the basis of the classical formation control effect.

AB - An inner and outer brain model for the multi-agent system used in distributed formation control is proposed, where the inner brain of each follower is set up according to state information about itself and adjacent agents, the outer brain is set up in all of the agents except leader combined with topology structure multiple agents information. The interaction information about agents will be reduced by adopted the model, and the anti-interference ability is also improved on the system. Experiment environment is consisted by one leader and four followers, and results show that 10.00% (compared with the Traditional algorithm, Ring topology), 25.00% (compared with the Traditional algorithm, Mixed type topology), 43.75% (compared with the Traditional algorithm, Net topology) information transform amount is reduced and the effect of control performance keep as original on the basis of the classical formation control effect.

KW - Distributed Formation Control

KW - Inner and Outer Brain

KW - Multi-agent System

KW - Topology Structure

UR - http://www.scopus.com/inward/record.url?scp=85037540515&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85037540515

T2 - 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017

Y2 - 2 November 2017 through 5 November 2017

ER -

An inner and outer brain model used in multi-agent distributed formation control

Abstract

Conference

Keywords

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