Imperial College London
Portrait Picture

Prof David Angeli

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Nonlinear Network Dynamics
 
 
 
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Contact

 

+44 (0)20 7594 6283d.angeli Website

 
 
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Location

 

1107CElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Angeli:2019:10.1016/j.automatica.2019.02.008,
author = {Angeli, D and Manfredi, S},
doi = {10.1016/j.automatica.2019.02.008},
journal = {Automatica},
pages = {230--238},
title = {Criteria for asymptotic clustering of opinion dynamics towards bimodal consensus},
url = {http://dx.doi.org/10.1016/j.automatica.2019.02.008},
volume = {103},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - By using the recently introduced framework of unilateral agents interactions, we provide tight graph-theoretical conditions ensuring asymptotic convergence of opinions in finite networks of cooperative agents towards equilibrium configurations where at most 2 distinct opinions persist. Such conditions extend previously known results on asymptotic agreement (or consensus).
AU  - Angeli,D
AU  - Manfredi,S
DO  - 10.1016/j.automatica.2019.02.008
EP  - 238
PY  - 2019///
SN  - 0005-1098
SP  - 230
TI  - Criteria for asymptotic clustering of opinion dynamics towards bimodal consensus
T2  - Automatica
UR  - http://dx.doi.org/10.1016/j.automatica.2019.02.008
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000465060300026&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/69785
VL  - 103
ER  -
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