Examinando por Materia "Fuzzy logic"

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    Advanced fuzzy-logic-based context-driven control for HVAC management systems in buildings
    (Institute of Electrical and Electronics Engineers Inc., 2020-01-01) Morales Escobar L.; Aguilar J.; Garces-Jimenez A.; Gutierrez De Mesa J.A.; Gomez-Pulido J.M.; Morales Escobar L.; Aguilar J.; Garces-Jimenez A.; Gutierrez De Mesa J.A.; Gomez-Pulido J.M.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    Control in HVAC (heating, ventilation and air-conditioning) systems of buildings is not trivial, and its design is considered challenging due to the complexity in the analysis of the dynamics of its nonlinear characteristics for the identification of its mathematical model. HVAC systems are complex since they consist of several elements, such as heat pumps, chillers, valves, heating/cooling coils, boilers, air-handling units, fans, liquid/air distribution systems, and thermal storage systems. This article proposes the application of LAMDA (learning algorithm for multivariable data analysis) for advanced control in HVAC systems for buildings. LAMDA addresses the control problem using a fuzzy classification approach without requiring a mathematical model of the plant/system. The method determines the degree of adequacy of a system for every class and subsequently determines its similarity degree, and it is used to identify the functional state or class of the system. Then, based on a novel inference method that has been added to LAMDA, a control action is computed that brings the system to a zero-error state. The LAMDA controller performance is analyzed via evaluation on a regulation problem of an HVAC system of a building, and it is compared with other similar approaches. According to the results, our method performs impressively in these systems, thereby leading to a trustable model for the implementation of improved building management systems. The LAMDA control performs very well for disturbances by proposing control actions that are not abrupt, and it outperforms the compared approaches. © 2013 IEEE.
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    Estimación del precio de oferta de la energía eléctrica en Colombia mediante inteligencia artificial
    (Universidad Pablo de Olavide, 2014-01-01) Hurtado Moreno, L.; Quintero Montoya, O.L.; García Rendón, J.J.; Universidad EAFIT. Escuela de Ciencias; Modelado Matemático
    One of the most important economic strategic sectors in any economy is the electricity market. Its main feature is its oligopolistic character favoured by the returns to scale which act as an entry barrier. As a result, the energy generators can use their power market in order to increase their benefits through the daily offered price and quantity of energy for each of their power plants. This paper presents a methodology for estimating the daily offered price of the most important power stations in Colombia (hydraulic and thermal) by applying artificial intelligence techniques: Fuzzy Logic and Neural Networks. Such techniques are found to be partially useful particularly for price tendencies. It also compares the results with autoregressive models that turned out inappropriate for the case of study.
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    Experts' Agreement Support for Distributed Engineering Knowledge Modelling
    (Springer Verlag, 2013-01-01) Mejía-Gutiérrez, R.; Cálad-Álvarez, A.; Zuluaga-Holguín, D.
    Knowledge sharing among partners in collaborative and concurrent engineering processes is becoming more critical for decision-making in Product Design Engineering (PDE). The approach presented in this article proposes a Fuzzy Logic (FL) based semi-automatic support for reaching agreements in the definition of variable's domain under a Constraint Satisfaction Problem (CSP) modelling process. A negotiation model is proposed, including suggestions about preferred domains for a variable that it is used for more than one expert. Competence of the users involved in the negotiation is measured with a set of developed indexes. A Fuzzy Inference System (FIS) is used to calculate user's indexes and suggestions about the domain are made based on the proposed domains and competence index of the experts. The proposal is included in a Multi-Agent System (MAS) for supporting distributed knowledge modelling. © Springer-Verlag Berlin Heidelberg 2013.
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    A fuzzy negotiation model to assign variable's domain in constraint satisfaction problems: An agent based collaborative engineering modeling case
    (IOS PRESS, 2012-01-01) Mejía-Gutiérrez, R.; Cálad-Álvarez, A.; Zuluaga-Holguín, D.; Universidad EAFIT. Departamento de Ingeniería de Diseño; Ingeniería de Diseño (GRID)
    Knowledge sharing among partners from a distributed engineering team is becoming more critical for decision making. The work presented in this article proposes to support users of an agent based application for collaborative product design, during the definition of an engineering problem under a Constraint Satisfaction Problem (CSP) approach. The scope of this work covers the domains definition for variables from the CSP distributed model. A semiautomatic negotiation model is proposed in order to give users suggestions about a preferred domain for a variable that is used for more than one expert. A set of quantitative indexes measure the competence that users have over variables in the model, helping the system in decision making. A fuzzy inference system is used to calculate user's competence index and suggestions are made based on a fuzzy approach in order to achieve trade-offs in collaborative domains definition. © 2012 The authors and IOS Press. All rights reserved.