Examinar Artículos por departamento (cas.) "Ingeniería de sistemas y automática"
Now showing items 21-40 of 285
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A Nonlinear Autoregressive Exogenous (NARX) Neural Network Model for the Prediction of the Daily Direct Solar Radiation
(MDPI, 2018-03)The solar photovoltaic (PV) energy has an important place among the renewable energy sources. Therefore, several researchers have been interested by its modelling and its prediction, in order to improve the management of ... -
A Novel Adaptive PID Controller Design for a PEM Fuel Cell Using Stochastic Gradient Descent with Momentum Enhanced by Whale Optimizer
(MDPI, 2022-08-20)This paper presents an adaptive PID using stochastic gradient descent with momentum (SGDM) for a proton exchange membrane fuel cell (PEMFC) power system. PEMFC is a nonlinear system that encounters external disturbances ... -
A novel python-based floating offshore wind turbine simulation framework
(Elsevier, 2024-02)The expansion of floating offshore wind brings the industry closer to achieving commercial viability. However, the challenging environment characterised by strong winds, waves, and currents, along with the growing size of ... -
A Novel Two Stage Controller for a DC-DC Boost Converter to Harvest Maximum Energy from the PV Power Generation
(MDPI, 2020-04-14)In this article, an efficient and fast two-stage approach for controlling DC-DC boost converter using non linear sliding mode controller for a PV power plant is proposed. The control approach is based on two online methods ... -
A Parametric Study of Trailing Edge Flap Implementation on Three Different Airfoils Through an Artificial Neuronal Network
(MDPI, 2020-05-18)Trailing edge flaps (TEFs) are high-lift devices that generate changes in the lift and drag coefficients of an airfoil. A large number of 2D simulations are performed in this study, in order to measure these changes in ... -
A preliminary analysis of gait performance of patients with multiple sclerosis using a sensorized crutch tip
(Elsevier, 2020-07-17)The quality of life and functional mobility of patients with Multiple Sclerosis (MS) can significantly improve with exercise and a rehabilitation therapy adjusted to the needs of each patient. The assessment of gait and ... -
A probabilistic model and capturing device for remote simultaneous estimation of spectral emissivity and temperature of hot emissive materials
(Institute of Electrical and Electronics Engineers, 2021-07-12)[EN] Estimating the temperature of hot emissive samples (e.g. liquid slag) in the context of harsh industrial environments such as steelmaking plants is a crucial yet challenging task, which is typically addressed by ... -
A proposal to introduce digitalization technologies within the automation learning process
(Elsevier, 2020-07-17)Although the digital factory (DF) concept has raised high expectations since its inception, it is still missing industrial impact. One of the problems attributed to this issue is the lack of education curricula for enhancing ... -
A real time sliding mode control for a wave energy converter based on a wells turbine
(Elsevier, 2018-06-18)Due to the nonlinear dynamics and uncertainties usually present in wave energy conversion systems, the efficiency of these devices can be enhanced employing a robust control algorithms. Wave energy converters are constructed ... -
A Real-Time Implementation of Novel and Stable Variable Step Size MPPT
(MDPI, 2020-09-08)This paper presents a complete study of a standalone photovoltaic (PV) system including a maximum power tracker (MPPT) driving a DC boost converter to feed a resistive load. Here, a new MPPT approach using a modification ... -
A Real-Time Sliding Mode Control for a Wind Energy System Based on a Doubly Fed Induction Generator
(MDPI, 2014-10)In this paper, a real time sliding mode control scheme for a variable speed wind turbine that incorporates a doubly feed induction generator is described. In this design, the so-called vector control theory is applied, in ... -
A real-time stress classification system based on arousal analysis of the nervous system by an F-state machine
(Elsevier, 2017-09-01)Background and objective: Detection and labelling of an increment in the human stress level is a con- tribution focused principally on improving the quality of life of people. This work is aimed to develop a biophysical ... -
A Reconfigurable Framework for Vehicle Localization in Urban Areas
(MDPI, 2022-03-28)Accurate localization for autonomous vehicle operations is essential in dense urban areas. In order to ensure safety, positioning algorithms should implement fault detection and fallback strategies. While many strategies ... -
A regressive machine-learning approach to the non-linear complex FAST model for hybrid floating offshore wind turbines with integrated oscillating water columns
(Nature, 2023)Offshore wind energy is getting increasing attention as a clean alternative to the currently scarce fossil fuels mainly used in Europe's electricity supply. The further development and implementation of this kind of ... -
A Review of Shared Control for Automated Vehicles: Theory and Applications
(IEEE, 2020-12)The last decade has shown an increasing interest on advanced driver assistance systems (ADAS) based on shared control, where automation is continuously supporting the driver at the control level with an adaptive authority. ... -
A Robust Maximum Power Point Tracking Control Method for a PEM Fuel Cell Power System
(MDPI, 2018-12-01)Taking into account the limited capability of proton exchange membrane fuel cells (PEMFCs) to produce energy, it is mandatory to provide solutions, in which an efficient power produced by PEMFCs can be attained. The maximum ... -
A Self-Paced Relaxation Response Detection System Based on Galvanic Skin Response Analysis
(2019-04-02)Relaxation helps to reduce physical, mental, and emotional pressure. Relaxation techniques generally enable a person to obtain calmness and well-being by reducing stress, anxiety, or anger. When a person becomes calm the ... -
A Simplified Modeling Approach of Floating Offshore Wind Turbines for Dynamic Simulations
(MDPI, 2022-03-18)Currently, floating offshore wind is experiencing rapid development towards a commercial scale. However, the research to design new control strategies requires numerical models of low computational cost accounting for the ... -
A Study of Learning Issues in Feedforward Neural Networks
(MDPI, 2022-09-05)When training a feedforward stochastic gradient descendent trained neural network, there is a possibility of not learning a batch of patterns correctly that causes the network to fail in the predictions in the areas adjacent ... -
A Study on COVID-19 Incidence in Europe through Two SEIR Epidemic Models Which Consider Mixed Contagions from Asymptomatic and Symptomatic Individuals
(MDPI, 2021-07-06)The impact of the SARS-CoV-2 (COVID-19) on the world has been partially controlled through different measures of social isolation and prophylaxis. Two new SEIR (Susceptible-Exposed-Infected-Recovered) models are proposed ...