This paper proposes a desing of a boost-type DC-DC converter, based on a state space model and calculation of a controller with multiplicative unstructured uncertainty. Performance of the converter at low frequencies was analyzed; as well, weight of the weighting function was adjusted, to reduce noise at certain frequencies. Results of system simulation, in open loop and closed loop, demostrate that the designed controller allows modifying cutoff frequency, through the variation of weighting functions. It is concluded that this technique optimizes dynamics behavior of the system.

The Foreign Exchange currency market is considered the most liquid market in the world due to the amount of money that is traded every day. Researchers and investors are interested in having a system that allows predicting the direction of the exchange rate of a pair of currencies in order to create a strategy that allows them to profit from the market. Since the movement of the exchange rate between currencies generates a high frequency time series, recurrent neural networks have gained strength in the prediction of these markets, since they have the characteristic of generating models of non-linear systems. In this document, the study of the prediction of the direction of the exchange rate of different currencies was carried out using the recurrent auto-regressive neural network with exogenous inputs, which has the characteristics to obtain a predictive model of a time series. The tests were carried out in the Euro / Dollar pair in the time frame of one hour, demonstrating the potential of this neural network architecture. These techniques are products of the biological and physical sciences in industrial processes.

En este trabajo se presenta la formulación de un convertidor DC-DC tipo elevador (boost), a partir de un modelo de espacio de estados y el cálculo de un controlador con incertidumbre no estructurada multiplicativa. Se analizó el rendimiento del convertidor a bajas frecuencias, ajustando el peso de la función de ponderación, con el fin de reducir el ruido a determinadas frecuencias. Los resultados de la simulación del sistema, en lazo abierto y lazo cerrado, muestran que el controlador diseñado permite modificar la frecuencia de corte, a través de la variación de las funciones de ponderación y de esta manera, mejorar los comportamientos dinámicos del sistema.

uno de los estudios más relativos desde la perspectiva del aprendizaje por descubrimiento, es el contenido a ser aprendido autónomamente por el individuo mismo [1]. En la enseñanza del movimiento parabólico desde la asignatura de física, aplicado a estudiantes de décimo grado en la educación media Colombiana del Colegio Hernando Caicedo de la Paila Valle , se realizó una secuencia didáctica por medio del uso de un simulador interactivo donde se contó con 30 estudiantes; conformando un grupo control y otro experimental, ambos con 15 aprendices; al grupo de referencia se abordó el tema en estudio en la forma educativa tradicional, mientras que al grupo experimental se le realizó la herramienta educativa motivo de estudio, con el fin de determinar la eficacia y apropiación en el proceso de instrucción . Se encontró que el uso de simuladores interactivos y la estrategia pedagógica aplicada del descubrimiento, mostraron que el grupo control fue del 23.33% de aciertos del formulario inicial aplicado y en el final un 53.33% de respuestas correctas respectivamente, como también una ganancia de aprendizaje normalizada de 0.80. Los datos encontrados evidenciaron un aprendizaje significativo, colocando en manifiesto la efectividad de la aplicación del método por descubrimiento en la secuencia didáctica del movimiento parabólico como apoyo a los procesos de la enseñanza de la física para estudiantes de educación media

This paper presents a brief description of the application of the technique of support-vector machines in order to classify patients with pathologies of Parkinson’s disease from voice samples. The problem of linear classification and the case of non-linear classification are addressed, for which the Kernel functions will be used in order to transform the input space into a space of greater dimensionality where it can be classified by means of a hyperplane.

This article shows the implementation of the proportional optimum control over a singular input, multiple output system, which corresponds to the speed control of a direct current motor. For this study, the controllability and observability of the model is verified to guarantee stabilization with the applied control, the system of state equations is defined and finally the optimal controller is designed with the specified requirements, in such a way as to minimize the time of response to an input signal.

Abstract The present article exposes the analysis of the dynamic model of an epidemic, which from certain considerations pretends to present the way in which for a given population the dispersion of a virus can occur, initially the preliminary concepts of the theory are exposed of dynamic systems to then incur the qualitative solution forms of greatest use in the specialized literature, finally the third order dynamic model of the epidemic is exposed, where the considerations and analysis procedures to obtain the final results are shown.

Plasma-assisted techniques have been widely used for deposition of high quality thin films and metallurgical coatings. The glow plasma produced in the region between the electrodes and the chamber wall of a cathodic arc was modeled. The plasma behavior was characterized for different cathode materials that are commonly used in a cathodic arc deposition. The electron temperature, density, and electric potential were found to decrease as function of the distance from the spot region. However, the ion kinetic energy tends to increase due to the acceleration of the ions coming from the bulk region. Our results show that the cathodic arc is not directly affected by the plasma potential of the glow plasma and that the cathode material has an important influence on the plasma behavior, mainly because of the electrical and thermal conductivity of each material.

TiN y TiC coatings were deposited using pulsed arc plasma assisted physical vapor deposition technique, varying substrate temperature from 85 - 100 to 115 °C. The thin films were analyzed by X-Ray photoelectron spectroscopy (XPS) and X-Ray diffraction (XRD). From the XPS signal processing of the narrow spectra, the formation titanium nitride (TiN), titanium carbide (TiC) with spatial group fm- 3m were observed, corresponding to the FCC crystalline structure of the synthesized compound