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

Ning Cai, Chen Diao and M. Junaid Khan

Complexity, 2017, vol. 2017, 1-8

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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:4978613

DOI: 10.1155/2017/4978613

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