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 - Artigos/Papers DCT- Comunicações em conferências |
Files in This Item:
File | Description | Size | Format | |
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social.pdf | 71,98 kB | Adobe PDF | View/Open |
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