Paper Title, Authors, Abstract (Issue 1, Volume 4, 2010)

Pages

New Techniques of Products Analysis
Marius Buzera, Marius-Constantin Popescu, Nikos E. Mastorakis, Jean-Octavian Popescu

Abstract: Researches throughout the past few years, having as a goal the automatic classification of products, via calculus systems implementation, as well as machine vision techniques, and artificial intelligence field methods, have lead to very promising results. Together with the colour, shape is one of the most important parameters of vegetal products. Thus, it helps one learn further information on the integrity of products, information which can be used in their classification, while taking the shape into consideration. Using them allowed for the assessment of some parameters such as shape, colour and the integrity degree of the products analyzed, having much more superior results than the classical classification installations. Still, due to these techniques particularities, the classification process implies going through some more phases. Both the experimental methodology for classifying vegetal products and some original algorithms are presented in this paper. To classify the shape it has been developed back-propagation feed-forward artificial neural network, and for colour a fuzzy algorithm. In order to test these techniques, an experimental device was created to allow a video inspection of products, some of the conclusions being presented in this material.
 

Stabilization of Non-necessarily Inversely Stable First-order Adaptive Systems Under Saturated Input
M. de la Sen, O. Barambones

Abstract: This paper is concerned with an indirect adaptive stabilization scheme for first-order continuous-time systems under saturated input which is described by a sigmoidal function. The control singularities are avoided through a modification estimation scheme for the estimated plant parameter vector so that its associated Sylvester matrix is guaranteed to be non-singular and then the estimated plant model is controllable. This strategy implies at the same time the controllability through time of the modified estimation scheme. The estimation modification mechanism involves the use of a hysteresis switching function. An alternative hybrid scheme, whose estimated parameters are updated at sampling instants is also given to solve a similar adaptive stabilization problem. Such a scheme also uses hysteresis switching for modification of the parameter estimates so as to ensure the controllability of the estimated plant model.