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Mostrando ítems 13-19 de 19
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Impulsive Zone MPC for Type I Diabetic Patients based on a long-term model
(Ahmad Taher Azar, 2020-02-01)In this work the problem of regulating glycemia in type I diabetic patients is studied by means of an impulsive zone model predictive control (impulsive ZMPC) based on a novel long-term glucoseinsulin model. Taking ... -
LSTM recurrent neural network for energy demand forecasting
(2023-05-16)Abstract—Recurrent Neural Networks (RNN) of the Long Short Term Memory (LSTM) type provide high accuracy in predicting sequential models in various application domains. As in most process control problems, their dynamics ... -
Modelado de una Microgrid residencial. Estudio de factibilidad y diseño de estrategias de control automático.
(2021-12)OBJETIVOS DE LA INVESTIGACIÓN: Los objetivos de la investigación son los siguientes: 1. Modelado de una microrred residencial. Se comenzará con un estudio de factibilidad de la microrred, para su dimensionamiento. Desde ... -
Modeling a residential microgrid for energy management
(2020-10-18)This article proposes a discrete time model for the energy management of a residential microgrid. It consists on array of solar panels, a storage system (made up of a lithiumion battery bank) and a load profile in line to ... -
Sistemas embebidos y las opciones de software libre para aplicaciones IoT
(2019-09-26)Aplicación de los sistemas embebidos como la plataforma de hardware Raspberry Pi a soluciones IoT industriales utilizando software libre como Eclipse Kura ™, Node-RED entre otros. -
Stable impulsive zone model predictive control for type 1 diabetic patients based on a long‐term model
(2020-07-13)In this work, the problem of regulating blood glucose (glycemia) in type I diabetic patients is studied by means of an impulsive zone model predictive control (iZMPC), which bases its predictions on a novel long‐term ... -
Stochastic model predictive control for tracking linear systems
(2019-04-11)This note presents a stochastic formulation of the model predictive control for tracking (MPCT), based on the results of the work of Lorenzen et al. The proposed controller ensures constraints satisfaction in probability, ...