A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems

被引：63

作者：

Cai, Ning ^{[1
,2
]}

Diao, Chen ^{[1
,2
]}

Khan, M. Junaid ^{[3
]}

机构：

[1] Northwest Minzu Univ, Coll Elect Engn, Lanzhou, Gansu, Peoples R China

[2] Key Lab Natl Language Intelligent Proc, Lanzhou, Gansu, Peoples R China

[3] Natl Univ Sci & Technol, Islamabad, Pakistan

来源：

COMPLEXITY | 2017年

关键词：

SYNCHRONIZATION;

D O I：

10.1155/2017/4978613

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper presents a novel approach for clustering, which is based on quasi-consensus of dynamical linear high-order multiagent systems. The graph topology is associated with a selected multiagent system, with each agent corresponding to one vertex. In order to reveal the cluster structure, the agents belonging to a similar cluster are expected to aggregate together. To establish the theoretical foundation, a necessary and sufficient condition is given to check the achievement of group consensus. Two numerical instances are furnished to illustrate the results of our approach.

引用

页数：8

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