This shows you the differences between two versions of the page.
Next revision | Previous revision | ||
en:wbechkit [2012/10/16 14:15] – created castillo | en:wbechkit [2012/10/16 15:14] (current) – castillo | ||
---|---|---|---|
Line 1: | Line 1: | ||
\\ | \\ | ||
- | === Seminar SIT55/ASER -- October | + | === Seminar SIT55/RO -- October |
\\ | \\ | ||
- | == Some new observers for vehicle dynamics | + | == Security and Energy Saving in Wireless Sensor Networks: Challenges and Solutions |
- | by **Qi CHENG**, ancien postdoc | + | by **Walid BECHKIT**, étudiant doctorat |
Line 19: | Line 19: | ||
- | To improve the stability control of modern automotive engineering, it is important to get precise knowledge of the vehicle dynamics. At the same time, some key variables of the vehicle dynamics, like the sideslip angle, are difficult to measure directly for technology or economic reasons. Researcher from both engineering and scholar fields propose large amount of algorithms to estimate these variables. To the best of our knowledge, most of these algorithms are based on linearization techniques, among which the extended Kalman filter is the most frequently used algorithm in the unmeasurable variable estimation for automotive control. Some new observers are proposed in the project of PERCOIVE. The particle filters are used in the observers of the sideslip angle. Furthermore, the technique of dual filer is used in the observer in order to deal with the unknown vehicle parameters. | + | Les progrès réalisés dans les domaines des systèmes embarqués et des technologies sans fil ont stimulé le développement des Réseaux de Capteurs Sans Fil (RCSF), une nouvelle technologie qui présente de nos jours des avantages indéniables dans plusieurs domaines qu'ils soient civils ou militaires. En effet, les RCSF sont utilisés pour la surveillance des champs de bataille, la gestion des forces, la détection des attaques, le contrôle de chaînes de production, la surveillance des patients et des personnes âgées, l' |
+ | |||
+ | |||
+ | Quoique le faible coût et la taille réduite des noeuds capteurs soient des avantages majeurs des RCSF, ces caractéristiques entraînent des contraintes sévères en termes de ressources (mémoire, énergie, calcul et portée de transmission). Ces limitations, | ||
+ | |||
+ | |||
+ | C'est dans ce cadre qui s' | ||
\\ | \\ |