Showing papers by "Maarouf Saad published in 1999"
09 May 1999
TL;DR: In this article, a MLP type of artificial neural network is used for short-term load forecasting using real load and weather data from the Hydro-Quebec databases, which can learn the relationship among past, current, and future weather variables and loads combining both time series and regressional approaches.
Abstract: The application of artificial neural networks (ANNs) to short term load forecasting has gained a lot of attention. The availability of historical load data on the utility databases makes this area highly suitable for ANN implementation, ANNs are able to learn the relationship among past, current, and future weather variables and loads combining both time series and regressional approaches. A wide variety of different types of ANNs have been used for load forecasting in the last few years resulting in a noticeable number of publications on the subject. In this paper, a MLP type of artificial neural network is used for short-term load forecasting using real load and weather data from the Hydro-Quebec databases.
13 citations
TL;DR: In this article, a robust control law for constrained manipulators with parametric uncertainties is derived and two schemes are presented ; the first, based on The Corless-Leitmann approach, will guarantee ultimate uniform stability of the system and hence uniform boundedness errors convergence.
Abstract: In this paper, a robust control law for constrained manipulators with parametric uncertainties is derived. Two schemes are presented ; the first, based on The Corless-Leitmann approach, will guarantee ultimate uniform stability of the system, and hence uniform boundedness errors convergence. As a second approach, a class of continuous feedback controls is proposed to guarantee asymptotic stability of the uncertain system. The analysis is based on a theoretical result of asymptotic stability. In this approach, clue to the continuity of the control and asymptotic stability of the system, we can achieve acceleration convergence and, thus, constraint force convergence.
11 citations
TL;DR: In this article, the Direct Adaptive Neuro Control approach is used in this application where learning is essentially performed on-line using the plant output error and simulation results show that the proposed approach provides more accurate, robust, and efficient adaptive control for the nonlinear hydraulic system when compared to the traditionally used control methods.
3 citations
01 Jan 1999
TL;DR: In this paper, the authors propose an environnement virtuel d'apprentissage et de formation (EVAF) based on the reseau Internet, which permits a divers apprenants d'interagir nonobstant les contraintes geographiques and temporelles.
Abstract: Un environnement virtuel d’apprentissage et de formation (EVAF) sur le reseau Internet est un espace qui permet a divers apprenants d’interagir nonobstant les contraintes geographiques et temporelles. Cette communication presente les composantes essentielles des environnements virtuels dedies a l'apprentissage et a la formation a distance sur le reseau Internet. Ces environnements qui, le plus souvent combinent le texte, le son, les images fixes ou animes rendent les applications sur le Web tres attrayantes et d’un haut niveau d’interactivite, un des facteurs pedagogiques le plus important pour la formation a distance. Ces environnements permettent de simuler avec tres peu de moyens financiers des instruments tres modernes et dans certains cas tres dispendieux pour etre disponible pour la formation dans les institutions. La simulation permet de mimer le comportement d’un domaine specifique. L’utilisateur ou l’apprenant agit sur la simulation en variant les entrees et les parametres du modele. Pour les institutions de formation, la simulation utilisant les nouvelles technologies de l’information et des communications permet de pallier au nombre insuffisant de formateurs specialises. La simulation est egalement un maillon de la chaine de transmission et d’acquisition de la connaissance par la formation a distance. Quelques exemples qui suivent illustrent le potentiel inestimable que nous permettent ces environnements.
1 citations