DC Field | Value | Language |
dc.contributor.author | ALARCÓN RAMOS, LUIS ÁNGEL | - |
dc.contributor.author | BERNAL JAQUES, ROBERTO | - |
dc.contributor.author | SCHAUM, ALEXANDER | - |
dc.coverage.spatial | <dc:creator id="info:eu-repo/dai/mx/cvu/238864">LUIS ANGEL ALARCON RAMOS</dc:creator> | - |
dc.coverage.spatial | <dc:creator id="info:eu-repo/dai/mx/cvu/235951">ALEXANDER SCHAUM</dc:creator> | - |
dc.coverage.spatial | <dc:creator id="info:eu-repo/dai/mx/cvu/79830">ROBERTO BERNAL JAQUEZ</dc:creator> | - |
dc.coverage.temporal | <dc:subject>info:eu-repo/classification/cti/7</dc:subject> | - |
dc.date.accessioned | 2020-06-22T20:03:36Z | - |
dc.date.available | 2020-06-22T20:03:36Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Entropy, vol. 20, núm. 3 (2018) | en_US |
dc.identifier.uri | http://ilitia.cua.uam.mx:8080/jspui/handle/123456789/482 | - |
dc.description.abstract | "The problem of stabilizing the spreading process to a prescribed probability distributionover a complex network is considered, where the dynamics of the nodes in the network is given by discrete-time Markov-chain processes. Conditions for the positioning and identification of actuators and sensors are provided, and sufficient conditions for the exponential stability of the desired distribution are derived. Simulations results for a network of N = 106 corroborate our theoretical findings." | en_US |
dc.description.sponsorship | Entropy | en_US |
dc.language.iso | Inglés | en_US |
dc.publisher | International Society for Information Studies | en_US |
dc.relation.haspart | 1099-4300 | - |
dc.rights | https://www.mdpi.com/1099-4300/20/3/204 | - |
dc.rights | https://doi.org/10.3390/e20030204 | - |
dc.subject | Redes de computadoras | en_US |
dc.subject | Análisis de sistemas | en_US |
dc.subject | Procesos de Markov - Procesamiento de datos | en_US |
dc.title | Output-feedback control for discrete-time spreading models in complex networks | en_US |
dc.type | Artículo | en_US |
Aparece en las colecciones: | Artículos
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