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.
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页数：8
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