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dc.contributor.authorFOUNAS, Sidahmed-
dc.contributor.authorTOUATI, Samy Ali-
dc.contributor.otherChakir, Messaoud, Directeur de thèse-
dc.contributor.otherLaleg Kirati, Taous Meriem, Directeur de thèse-
dc.date.accessioned2023-10-22T09:51:00Z-
dc.date.available2023-10-22T09:51:00Z-
dc.date.issued2023-
dc.identifier.otherEP00533-
dc.identifier.urihttp://repository.enp.edu.dz/jspui/handle/123456789/10920-
dc.descriptionMémoire de Projet de Fin d’Études : Automatique : Alger, École Nationale Polytechnique : 2023fr_FR
dc.description.abstractIn this work, we’ll present two non-asymptotic approaches for estimation: the modulat-ing function-based method for estimation and observers with prescribed-time convergence. We’ll explain the basic concepts of the latter and illustrate their performance through il-lustrative examples. We will dwell on observers based on modulating functions to gain a deep understanding of the method and become familiar with it. We will propose then an extension of the observer to a new class of nonlinear systems. As an application of the proposed extension, we will focus on a recently introduced problem: Controlling the position of a drone in a mobile environment. Initially, we’ll deal with the Control part of the problem, before moving on to the Estimation part. In order to demonstrate the performance of the observer based on the modulating functions, we’ll compare it with two other observers widely used in the literature.fr_FR
dc.language.isoenfr_FR
dc.subjectFinite time stabilityfr_FR
dc.subjectObserversfr_FR
dc.subjectPrescribed Fixed-time Modulating functions based methodfr_FR
dc.subjectDronefr_FR
dc.titleFinite time estimators for state and unknown inputs estimation for a class of nonlinear systemsfr_FR
dc.typeThesisfr_FR
Collection(s) :Département Automatique

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