Utilize este identificador para referenciar este registo:
http://hdl.handle.net/11144/3432
Título: | Finite-time Convergence Policies in State-dependent Social Networks |
Autor: | Silvestre, Daniel |
Data: | Jul-2015 |
Resumo: | 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 |
Aparece nas colecções: | AUTONOMA TECHLAB - Comunicações em conferências |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ACC2015.pdf | 1,23 MB | Adobe PDF | Ver/Abrir |
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