| Título: | Output-feedback control for discrete-time spreading models in complex networks |
| Autor(es): | ALARCÓN RAMOS, LUIS ÁNGEL BERNAL JAQUES, ROBERTO SCHAUM, ALEXANDER |
| Temas: | Redes de computadoras Análisis de sistemas Procesos de Markov - Procesamiento de datos |
| Fecha: | 2018 |
| Editorial: | International Society for Information Studies |
| Citation: | Entropy, vol. 20, núm. 3 (2018) |
| Resumen: | "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." |
| URI: | http://ilitia.cua.uam.mx:8080/jspui/handle/123456789/482 |
| Aparece en las colecciones: | Artículos |
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| Output-Feedback Control for Discrete-Time Spreading Models in Complex Networks.pdf | 819.75 kB | Adobe PDF | Visualizar/Abrir |
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