@inproceedings{18ee8736495e40e78f30465abd07bc80,
title = "On the optimal control of opinion dynamics on evolving networks",
abstract = "In this work we are interested in the modelling and control of opinion dynamics spreading on a time evolving network with scalefree asymptotic degree distribution. The mathematical model is formulated as a coupling of an opinion alignment system with a probabilistic description of the network. The optimal control problem aims at forcing consensus over the network, to this goal a control strategy based on the degree of connection of each agent has been designed. A numerical method based on a model predictive strategy is then developed and different numerical tests are reported. The results show that in this way it is possible to drive the overall opinion toward a desired state even if we control only a suitable fraction of the nodes.",
keywords = "Collective behavior, Consensus dynamics, Model predictive control, Multi-agent systems, Scale-free networks",
author = "Giacomo Albi and Lorenzo Pareschi and Mattia Zanella",
note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2016.; 27th IFIP TC7 Conference on System Modeling and Optimization, CSMO 2015 ; Conference date: 29-06-2015 Through 03-07-2015",
year = "2016",
doi = "10.1007/978-3-319-55795-3\_4",
language = "English",
isbn = "9783319557946",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer New York LLC",
pages = "58--67",
editor = "Abderrahmane Habbal and Lorena Bociu and Jean-Antoine Desideri",
booktitle = "System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, Revised Selected Papers",
}