Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Philip E. Pare"'
Publikováno v:
IEEE Transactions on Control of Network Systems. 9:1154-1165
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1098d2c1c59bf9e9e9e5cb40a7c646e5
https://doi.org/10.1109/tcns.2022.3145748
https://doi.org/10.1109/tcns.2022.3145748
Publikováno v:
IEEE Transactions on Network Science and Engineering. 8:2262-2278
Motivated by the ongoing pandemic COVID-19, we propose a closed-loop framework that combines inference from testing data, learning the parameters of the dynamics and optimal resource allocation for controlling the spread of the susceptible-infected-r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::107320c4f079966e44237cb7663b59f0
https://doi.org/10.1109/tnse.2021.3085866
https://doi.org/10.1109/tnse.2021.3085866
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c2aa90582c8a6230f32beeeb5a7185b
https://doi.org/10.23919/acc53348.2022.9867495
https://doi.org/10.23919/acc53348.2022.9867495
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::492500a3e4a1c4cb0ff87d03d86ec3fc
https://doi.org/10.23919/acc53348.2022.9867851
https://doi.org/10.23919/acc53348.2022.9867851
Publikováno v:
IEEE Transactions on Control of Network Systems. 8:123-134
This article studies epidemic processes over discrete-time periodic time-varying networks. We focus on the susceptible-infected-susceptible (SIS) model that accounts for a (possibly) mutating virus. We say that an agent is in the disease-free state i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3da0dcde9a337314c514b74d40048bc0
https://doi.org/10.1109/tcns.2020.3017717
https://doi.org/10.1109/tcns.2020.3017717
Publikováno v:
IEEE Transactions on Network Science and Engineering. 7:1764-1773
The spread of new products in a networked population is often modeled as an epidemic. However, in the case of “complex” contagion, these models do not capture nuanced, dynamic social reinforcement effects in adoption behavior. In this paper, we i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cac230e7b19ccabe58a50467c1ed402c
https://doi.org/10.1109/tnse.2019.2952986
https://doi.org/10.1109/tnse.2019.2952986
Publikováno v:
IEEE Transactions on Control Systems Technology. 28:79-93
Models of spreading processes over nontrivial networks are commonly motivated by modeling and analysis of biological networks, computer networks, and human contact networks. However, learning the spread parameters of such models has not yet been expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00e2e283e6aeecf997b5f2339974522f
https://doi.org/10.1109/tcst.2018.2869369
https://doi.org/10.1109/tcst.2018.2869369
Publikováno v:
Annual Reviews in Control. 50:345-360
We present and discuss a variety of mathematical models that have been proposed to capture the dynamic behavior of epidemic processes. We first present traditional group models for which no underlying graph structures are assumed, thus implying that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff52b33436d27f41dfa6a48ef4a0be25
https://doi.org/10.1016/j.arcontrol.2020.09.003
https://doi.org/10.1016/j.arcontrol.2020.09.003
Publikováno v:
IFAC-PapersOnLine. 53:2582-2587
This paper proposes a network continuous-time susceptible-infected-susceptible (SIS) model coupled with individual opinion dynamics, where the opinion dynamics models an individual’s perceived severity of illness or perceived susceptibility. The ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::327e0b415acd3d33fe8bf0c08451d3c6
https://doi.org/10.1016/j.ifacol.2020.12.305
https://doi.org/10.1016/j.ifacol.2020.12.305
Publikováno v:
IFAC-PapersOnLine. 53:797-802
In this paper, we introduce a continuous-time competing virus model with a shared resource. We say that the system is in the healthy state if all the agents are healthy, and the shared resource is not contaminated. If the epidemic remains persistent,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d58306adfe1409e42ee4a4806be9f603
https://doi.org/10.1016/j.ifacol.2021.04.220
https://doi.org/10.1016/j.ifacol.2021.04.220