Finite time estimators for state and unknown inputs estimation for a class of nonlinear systems

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dc.contributor.author FOUNAS, Sidahmed
dc.contributor.author TOUATI, Samy Ali
dc.contributor.other Chakir, Messaoud, Directeur de thèse
dc.contributor.other Laleg Kirati, Taous Meriem, Directeur de thèse
dc.date.accessioned 2023-10-22T09:51:00Z
dc.date.available 2023-10-22T09:51:00Z
dc.date.issued 2023
dc.identifier.other EP00533
dc.identifier.uri http://repository.enp.edu.dz/jspui/handle/123456789/10920
dc.description Mémoire de Projet de Fin d’Études : Automatique : Alger, École Nationale Polytechnique : 2023 fr_FR
dc.description.abstract In 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.iso en fr_FR
dc.subject Finite time stability fr_FR
dc.subject Observers fr_FR
dc.subject Prescribed Fixed-time Modulating functions based method fr_FR
dc.subject Drone fr_FR
dc.title Finite time estimators for state and unknown inputs estimation for a class of nonlinear systems fr_FR
dc.type Thesis fr_FR


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