Accurate calculation of the complex eigenvalues of the Schr\"{o}dinger equation with an exponential potential

We show that the Riccati--Pad\'{e} method is suitable for the calculation of the complex eigenvalues of the Schr\"{o}dinger equation with a repulsive exponential potential. The accuracy of the results is remarkable for realistic potential parameters

La fonética y los trastornos que afectan al lenguaje

Esta conferencia se centra en la aplicación de una disciplina lingüística, la fonética, poco conocida para el público no especializado, a una serie de problemas que, por su relativa frecuencia, sí preocupa al público general: el de las patologías del lenguaje.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A Bayesian approach to robust identification: application to fault detection

In the Control Engineering field, the so-called Robust Identification techniques deal with the problem of obtaining not only a nominal model of the plant, but also an estimate of the uncertainty associated to the nominal model. Such model of uncertainty is typically characterized as a region in the parameter space or as an uncertainty band around the frequency response of the nominal model. Uncertainty models have been widely used in the design of robust controllers and, recently, their use in model-based fault detection procedures is increasing. In this later case, consistency between new measurements and the uncertainty region is checked. When an inconsistency is found, the existence of a fault is decided. There exist two main approaches to the modeling of model uncertainty: the deterministic/worst case methods and the stochastic/probabilistic methods. At present, there are a number of different methods, e.g., model error modeling, set-membership identification and non-stationary stochastic embedding. In this dissertation we summarize the main procedures and illustrate their results by means of several examples of the literature. As contribution we propose a Bayesian methodology to solve the robust identification problem. The approach is highly unifying since many robust identification techniques can be interpreted as particular cases of the Bayesian framework. Also, the methodology can deal with non-linear structures such as the ones derived from the use of observers. The obtained Bayesian uncertainty models are used to detect faults in a quadruple-tank process and in a three-bladed wind turbine

La electropalatografía (EPG) en el estudio articulatorio del habla: el WinEPG de Articulate Instruments Ltd.

La electropalatografía (EPG) es, hoy en día, una de las herramientas más eficaces en el análisis instrumental articulatorio. Permite registrar los contactos de la lengua con el paladar a partir de la activación de los electrodos situados en la superficie de los paladares artificiales y además también permite hacer su seguimiento en el tiempo, lo cual constituye su logro más destacado respecto a la palatografía estática clásica. Los datos que proporciona, fundamentalmente a partir de sus gráficos característicos (los electropalatogramas), suelen reducirse a algún tipo de índices susceptibles de ser sometidos a pruebas estadísticas