Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Keith Paarporn"'
Publikováno v:
Epidemics, Vol 27, Iss , Pp 96-105 (2019)
In a simple susceptible-infected-recovered (SIR) model, the initial speed at which infected cases increase is indicative of the long-term trajectory of the outbreak. Yet during real-world outbreaks, individuals may modify their behavior and take prev
Externí odkaz:
https://doaj.org/article/36672c39ed694ef692c332e0483c39a4
Publikováno v:
IEEE Transactions on Control of Network Systems. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59f225f71345f1e49889462293e9ae17
https://doi.org/10.1109/tcns.2023.3272823
https://doi.org/10.1109/tcns.2023.3272823
Publikováno v:
IEEE Control Systems Letters. 6:2822-2827
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::796d367bdd58c72f64da4331dafbcf84
https://doi.org/10.1109/lcsys.2022.3178161
https://doi.org/10.1109/lcsys.2022.3178161
Publikováno v:
2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ef950047ad6306b1fdd6f2e660cf23c
https://doi.org/10.1109/allerton49937.2022.9929359
https://doi.org/10.1109/allerton49937.2022.9929359
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b61907c9ead60bab4c5d9cd5aa97bb4b
https://doi.org/10.23919/acc53348.2022.9867373
https://doi.org/10.23919/acc53348.2022.9867373
Autor:
Keith Paarporn, Ceyhun Eksin
Publikováno v:
IEEE Transactions on Control of Network Systems. 7:1823-1835
Many games have undesirable Nash equilibria. In such games, a designer's goal is to avoid “bad” equilibria. In this article, we focus on which players to control and how to control them so that the emerging outcome of learning dynamics is desirab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a92ca738687b83deb4ad42d1c29028d9
https://doi.org/10.1109/tcns.2020.3002426
https://doi.org/10.1109/tcns.2020.3002426
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:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031231407
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25cb280b3384ebcec3d2d960674d8103
https://doi.org/10.1007/978-3-031-23141-4_23
https://doi.org/10.1007/978-3-031-23141-4_23
Disease spread coupled with evolutionary social distancing dynamics can lead to growing oscillations
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4586855d80d7a074955be6cb94077526
https://doi.org/10.1109/cdc45484.2021.9683594
https://doi.org/10.1109/cdc45484.2021.9683594
Multi-agent systems are designed to concurrently accomplish a diverse set of tasks at unprecedented scale. Here, the central problems faced by a system operator are to decide (i) how to divide available resources amongst the agents assigned to tasks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::345214171fdd256d553c2175c284ca71
http://arxiv.org/abs/2103.16688
http://arxiv.org/abs/2103.16688