A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems
Keyword(s):
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.
2010 ◽
pp. 342-367
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2005 ◽
Vol 37
(02)
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pp. 482-509
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2016 ◽
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pp. 1-5
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2012 ◽
Vol 2012
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pp. 1-9
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2005 ◽
Vol 37
(2)
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pp. 482-509
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2014 ◽
Vol 243
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pp. 870-878
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