Please use this identifier to cite or link to this item: http://hdl.handle.net/11144/3432
Title: Finite-time Convergence Policies in State-dependent Social Networks
Authors: Silvestre, D.
Issue Date: Jul-2015
Abstract: This paper addresses the problem of finite-time convergence in a social network for a political party or an association, modeled as a distributed iterative system with a graph dynamics chosen to mimic how people interact. It is firstly shown that, in this setting, finite-time convergence is achieved only when nodes form a complete network, and that contacting with agents with distinct opinions reduces to a half the required interconnections. Two novel strategies are presented that enable finite-time convergence, even for the case where each node only contacts the two closest neighbors. These strategies are of prime importance, for instance, in a company environment where agents can be motivated to reach faster conclusions. The performance of the proposed policies is assessed through simulation, illustrating, in particular the finite-time convergence property.
URI: http://hdl.handle.net/11144/3432
Appears in Collections:AUTONOMA TECHLAB - Comunicações em conferências

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