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Finite-time convergence policies in state-dependent social networks
Silvestre D.1; Rosa P.2; Hespanha J.P.3; Silvestre C.4
Conference NameAmerican Control Conference
Source PublicationProceedings of the American Control Conference
Conference DateJUL 01-03, 2015
Conference PlaceChicago, IL
CountryUnited States
Author of SourceIEEE
Publication Place345 E 47TH ST, NEW YORK, NY 10017 USA

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.

URLView the original
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000370259201020
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Document TypeConference paper
Affiliation1.Instituto Superior Técnico
2.DEIMOS Engenharia SA
3.Universidade de Macau
4.University of California, Santa Barbara
Recommended Citation
GB/T 7714
Silvestre D.,Rosa P.,Hespanha J.P.,et al. Finite-time convergence policies in state-dependent social networks[C]//IEEE. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2015:1041-1046.
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