This paper presents a general overview of the main characteristics of the wind power systems, also considerations about the simulation models and the most used Maximum Power Point Tracker (MPPT) techniques are made. Some simulation results are shown and conclusions about the work are given.
ResumenEn este artículo se presenta un estudio sobre la reducción de ruido de fondo (electrónico) en señales electroencefalográficas (EEG) utilizando la transformada wavelet, asumiendo que las caracterís-ticas extraídas son susceptibles al ruido inherente en la señal y común entre clases. Adicionalmente se observa la incidencia en la separación de las muestras en el espacio de características a partir de un clasificador bayesiano lineal. Se obtiene un incremento del 1% en la media del porcentaje de acierto, al realizar la reducción de ruido en la identificación de dos estados funcionales.
Palabras claveWavelet, EEG, reducción de ruido.
AbstractA study on background noise reduction (denoising) on EEG signals using wavelet transform is presented, assuming that extracted features are susceptible to common noise within classes; besides, the feature space separability is compared using a linear Bayesian classifier. An increment of 1% in the average recognition [6]Revista Tecnológicas rate is reached performing noise reduction in the identification of two functional states.
An approach to fuzzy identification of discrete time nonlinear dynamical systems based on the Takagi-Sugeno (TS) model with a economical computation formulation is proposed. Number of rules and membership functions positions are fixed for all inputs. This allows to avoid the fuzzification proccess of delayed inputs. Rule base evaluation is avoided for delayed inputs by the Reusable Fuzzified Inputs approach. Consequent parameters are trained or estaimated using least squares approach. This method is intended to be trained in an off-line manner and used in programmable devices. Finally, simulations are performed on two diffrerent problems, the approach shows consistency, tracking of the output that vary with time and a high accuracy of the output estimate, properties requiered in control design applications.
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