Management System Using Fuzzy Logic for Reference Governors: A Case Study in Hospitals

Gary Omar Ampuño Aviles

doi:10.1007/978-3-030-89941-7

Management System Using Fuzzy Logic for Reference Governors: A Case Study in Hospitals

Título traducido de la contribución: Sistema de Gestión con Lógica Difusa para Gobernadores de Referencia: Un Caso de Estudio en Hospitales

Gary Omar Ampuño Aviles

Sustainability, Management And Regulation Of Telecommunications And Energy (SMART-TECH)

Producción científica: Contribución a una conferencia › Documento

Resumen

La modelización de derivadas es una técnica muy utilizada en la estimación de soluciones de sistemas de ecuaciones diferenciales cuya solución numérica tiene una complejidad computacional intratable o en la que la presencia de errores o perturbaciones infinitesimales puede provocar su divergencia. La cuantificación de la incertidumbre que se produce al estimar la solución en una malla finita es un problema abierto y ha sido abordado desde diversas aproximaciones robabilísticas. En este trabajo se aborda la estimación de la incertidumbre de soluciones de ecuaciones diferenciales ordinarias mediante un proceso de GP en un espacio de funciones suavizadas, implementando un algoritmo que permite estimar los estados de la solución x(t) y sus derivadas de forma secuencial. Además, se propone la adición de expansiones polinómicas del caos (PCE) utilizando las distribuciones resultantes del algoritmo para mejorar la predicción del mismo. Para ilustrar la metodología, se probaron los algoritmos en tres sistemas conocidos de ecuaciones diferenciales ordinarias y se cuantificó su eficacia mediante tres medidas de rendimiento, resultando una mejora global de la predicción al añadir la expansión polinómica del caos.

Título traducido de la contribución	Sistema de Gestión con Lógica Difusa para Gobernadores de Referencia: Un Caso de Estudio en Hospitales
Idioma original	Inglés estadounidense
DOI	https://doi.org/10.1007/978-3-030-89941-7
Estado	Publicada - 3 nov. 2021
Evento	9no Congreso Ecuatoriano de Tecnologías de Información y Comunicación (TICEC 2021) - EC Duración: 24 nov. 2021 → 26 nov. 2021 https://ticec2021.cedia.edu.ec/index.php/es/

Conferencia

Conferencia	9no Congreso Ecuatoriano de Tecnologías de Información y Comunicación (TICEC 2021)
Período	24/11/21 → 26/11/21
Dirección de internet	https://ticec2021.cedia.edu.ec/index.php/es/

Palabras clave

Optimization
Fuzzy logic
Hospitality

Areas de Conocimiento del CACES

317A Electricidad y energía

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10.1007/978-3-030-89941-7

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abstract = "Derivative modeling is a wide-used technique in the estimation of solutions of systems of differential equations whose numerical solution has an intractable computational complexity or in which the presence of error or infinitesimal perturbations could result in their divergence. The quantification of the uncertainty that is produced when estimating the solution in a finite mesh is an open problem and has been addressed from various robabilistic approaches. In this work, uncertainty estimation of solutions of ordinary differential equations by means of a GP process in a space of smoothed functions is addressed by implementing an algorithm that allows estimating the solution states x(t) and their derivatives in a sequential way. Besides, the addition of polynomial chaos expansions (PCE) using the resulting distributions of the algorithm is proposed to improve the prediction of the algorithm. To illustrate the methodology, the algorithms were tested on three known systems of ordinary differential equations and their effectiveness was quantified by three performance measures, resulting in an overall improvement in prediction by adding the polynomial chaos expansion.",

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KW - Optimization

KW - Fuzzy logic

KW - Hospitality

KW - Optimization

KW - Fuzzy logic

KW - Hospitality

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Management System Using Fuzzy Logic for Reference Governors: A Case Study in Hospitals

Resumen

Conferencia

Palabras clave

Areas de Conocimiento del CACES

Acceder al documento

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Huella

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