A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems-Reference-Cited by-同舟云学术

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

Published:2017 Issue: Volume:2017 Page:1-8
ISSN:1076-2787
Container-title:Complexity
language:en
Short-container-title:Complexity

Author:

Cai Ning¹²^ORCID,Diao Chen¹²^ORCID,Khan M. Junaid³

Affiliation:

1. College of Electrical Engineering, Northwest Minzu University, Lanzhou, China

2. Key Laboratory of National Language Intelligent Processing, Gansu Province, China

3. National University of Sciences and Technology, Islamabad, Pakistan

Abstract

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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Link

http://downloads.hindawi.com/journals/complexity/2017/4978613.pdf

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