A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems
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 age...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/4978613 |
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| _version_ | 1850209958991233024 |
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| author | Ning Cai Chen Diao M. Junaid Khan |
| author_facet | Ning Cai Chen Diao M. Junaid Khan |
| author_sort | Ning Cai |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9775aa0fc9b045f5a23f3bef45789cf4 |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-9775aa0fc9b045f5a23f3bef45789cf42025-08-20T02:09:52ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/49786134978613A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent SystemsNing Cai0Chen Diao1M. Junaid Khan2College of Electrical Engineering, Northwest Minzu University, Lanzhou, ChinaCollege of Electrical Engineering, Northwest Minzu University, Lanzhou, ChinaNational University of Sciences and Technology, Islamabad, PakistanThis 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.http://dx.doi.org/10.1155/2017/4978613 |
| spellingShingle | Ning Cai Chen Diao M. Junaid Khan A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems Complexity |
| title | A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems |
| title_full | A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems |
| title_fullStr | A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems |
| title_full_unstemmed | A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems |
| title_short | A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems |
| title_sort | novel clustering method based on quasi consensus motions of dynamical multiagent systems |
| url | http://dx.doi.org/10.1155/2017/4978613 |
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