Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Fabio Fagnani"'
Autor:
Leonardo Cianfanelli, Carlo Senore, Giacomo Como, Fabio Fagnani, Costanza Catalano, Mariano Tomatis, Eva Pagano, Stefania Vasselli, Giulia Carreras, Nereo Segnan, Cristiano Piccinelli
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background A large fraction of the disease burden in the Italian population is due to behavioral risk factors. The objective of this work is to provide a tool to estimate the impact of preventive interventions that reduce the exposure to smo
Externí odkaz:
https://doaj.org/article/c186b6d939d44998a4cdfbd98c7b6f49
Publikováno v:
IEEE Transactions on Control of Network Systems. :1-12
We study the spread of a novel state in a network, in the presence of an exogenous control. The considered controlled evolutionary dynamics is a non-homogeneous Markov process that describes the evolution of the states of all nodes in the network. Th
Publikováno v:
IEEE Transactions on Automatic Control. 67:6366-6380
We study an optimal targeting problem for super-modular games with binary actions and finitely many players. The considered problem consists in the selection of a subset of players of minimum size such that, when the actions of these players are forc
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 32:668-677
In this paper, we define goal legibility in a multi-agent path-finding setting. We consider a set of identical agents moving in an environment and tasked with reaching a set of locations that need to be serviced. An observer monitors their movements
Publikováno v:
IFAC-PapersOnLine. 53:2844-2849
The Bonacich centrality is a well-known measure of the relative importance of nodes in a network. This notion is, for example, at the core of Google's PageRank algorithm. In this paper we study a network formation game where each player corresponds t
Consider discrete-time linear distributed averaging dynamics, whereby agents in a network start with uncorrelated and unbiased noisy measurements of a common underlying parameter (state of the world) and iteratively update their estimates following a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::683a4d36c25796f9f96fea73d14696b2
https://hdl.handle.net/11583/2973520
https://hdl.handle.net/11583/2973520
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
We study extensions of the classical SIR model of epidemic spread. First, we consider a single population modified SIR epidemics model in which the contact rate is allowed to be an arbitrary function of the fraction of susceptible and infected indivi
Whilst network coordination games and network anti-coordination games have received a considerable amount of attention in the literature, network games with coexisting coordinating and anti-coordinating players are known to exhibit more complex behav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff78689ba0bcf31635d66fc24cb10ba5
http://arxiv.org/abs/2109.12692
http://arxiv.org/abs/2109.12692
Autor:
Fabio Fagnani
Publikováno v:
Encyclopedia of Systems and Control ISBN: 9781447151029
Encyclopedia of Systems and Control
Encyclopedia of Systems and Control
This entry provides a broad overview of the basic elements of consensus dynamics. It describes the classical Perron-Frobenius theorem that provides the main theoretical tool to study the convergence properties of such systems. Classes of consensus mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4d5276c5ac909403e3df89a3fc8ce76
https://doi.org/10.1007/978-3-030-44184-5_136
https://doi.org/10.1007/978-3-030-44184-5_136