Please use this identifier to cite or link to this item: http://hdl.handle.net/11144/3419
Title: Finite-time Convergence Policies in State-dependent Social Networks
Authors: Silvestre, Daniel
Rosa, P.
Hespanha, J.P.
Silvestre, C.
Issue Date: Jul-2015
Publisher: IEEE
Citation: D. Silvestre, P. Rosa, J. P. Hespanha and C. Silvestre, "Finite-time convergence policies in state-dependent social networks," 2015 American Control Conference (ACC), Chicago, IL, 2015, pp. 1041-1046.
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.
Peer reviewed: yes
URI: http://hdl.handle.net/11144/3419
metadata.dc.identifier.doi: 10.1109/ACC.2015.7170870
Appears in Collections:AUTONOMA TECHLAB - Artigos/Papers
DCT- Comunicações em conferências
DCT - Artigos/Papers

Files in This Item:
File Description SizeFormat 
social.pdf71.98 kBAdobe PDFView/Open


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Currículo DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.