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15

CDC
2008
IEEE

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Clustering in a network of mutually attracting agents

13 years 4 months ago

Clustering in a network of mutually attracting agents

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We introduce a model of mutually attracting agents in an arbitrary network, for which the long term behavior results in the emergence of several clusters. The cluster structure is independent of the initial condition and is characterized by a set of inequalities in the parameters of the model. With varying coupling strength, transitions between different cluster structures may take place. We illustrate the relation with the Kuramoto model on interconnected oscillators and we discuss an application on opinion formation.

Filip De Smet, Dirk Aeyels

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CDC 2008 | Cluster Structures | Control Systems | Long Term Behavior | Model |

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Added	07 Dec 2010
Updated	07 Dec 2010
Type	Conference
Year	2008
Where	CDC
Authors	Filip De Smet, Dirk Aeyels

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