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Titre	Nonlinear Systems
Fichier	nonlinear-systems_GwiJU.epub
	nonlinear-systems_b9xj7.mp3
Nombre de pages	108 Pages
Classe	RealAudio 192 kHz
Libéré	3 years 7 months 19 days ago
Taille	1,164 KB
Durée	45 min 03 seconds

Nonlinear Systems

Catégorie: Tourisme et voyages, Humour
Auteur: Elle Kennedy, Sawyer Bennett
Éditeur: Jacques Duquennoy, Tom Butler-Bowdon
Publié: 2017-10-08
Écrivain: Salman Rushdie, Dino Buzzati
Langue: Hongrois, Albanais, Français
Format: Livre audio, epub

Computing reachable sets for nonlinear systems in presence of bounded uncertainties - 30 mars 2020 ... Rihab El Houda Thabet, Christophe Combastel, Tarek Raissi, Nacim Ramdani, Ali Zolghadri. Computing reachable sets for nonlinear systems ...

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Backstepping for nonlinear systems with delay in the input revisited - 29 mars 2021 ... Frédéric Mazenc, Silviu-Iulian Niculescu, Mounir Bekaïk. Backstepping for nonlinear systems with delay in the input revisited. SIAM Journal on ...

Some observer and feedback designs for finite dimensional nonlinear systems - Some observer and feedback designs for finite dimensional nonlinear systems. Vincent Andrieu 1. Détails. 1 LAGEP - Laboratoire d'automatique et de génie des ...

PI/PID controller stabilising sets of uncertain nonlinear systems: An efficient surrogate model-based approach - 1 avr. 2021 ... J. Urrea-Quintero, Jan Fuhg, M. Marino, Amélie Fau. PI/PID controller stabilising sets of uncertain nonlinear systems: An efficient surrogate ...

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Robustness and stability of nonlinear systems : a homogeneous point of view - The purpose of this work is the study of stability and robustness properties of nonlinear systems using homogeneity-based methods. Firstly, we recall the usual context of homogeneous systems as well as their main features. The sequel of this work extends the homogenization of nonlinear systems, which was already defined in the framework of weighted homogeneity, to the more general setting of the geometric homogeneity. The main approximation results are extended. Then we develop a theoretical framework for defining homogeneity of discontinuous systems and/or systems given by a differential inclusion. We show that the well-known properties of homogeneous systems persist in this context. This work is continued by a study of the robustness properties of homogeneous or homogenizable systems. We show that under mild assumptions, these systems are input-to-state stable. Finally, the last part of this work consists in the study of the example of the double integrator system. We synthesize a finite-time stabilizing ou

Interval state estimation for a class of nonlinear systems - 11 déc. 2020 ... Tarek Raissi, Denis Efimov, Ali Zolghadri. Interval state estimation for a class of nonlinear systems. IEEE Transactions on Automatic Control, ...

Near-optimal control of discrete-time nonlinear systems with stability guarantees - Artificial intelligence is rich in algorithms for optimal control. These generate commands for dynamical systems in order to minimize a a given cost function describing the energy of the system, for example. These methods are applicable to large classes of non-linear systems in discrete time and have proven themselves in many applications. Their application in control problems is therefore very promising. However, a fundamental question remains to be clarified for this purpose: that of stability. Indeed, these studies focus on optimality and ignore in the In most cases the stability of the controlled system, which is at the heart of control theory. The objective of my thesis is to study the stability of non-linear systems controlled by such algorithms. The stakes are high because it will create a new bridge between artificial intelligence and control theory. Stability informs us about the behaviour of the system as a function of time and guarantees its robustness in the presence of model disturbances or uncer

– Antonín Novák , Identification of nonlinear systems in acoustics - La théorie des systèmes linéaires invariant a fait l’objet de nombreuses études au cours de ces dernières décennies, et l’estimation d’un tel système à partir du signal de sortie lorsque le signal d’entrée est connu est un problème aujourd’hui résolu. Cependant, le comportement de tout système réel est plus ou moins non-linéaire. Dans le cas de faibles non-linéarités, une approximation linéaire peut être effectuée, mais lorsque les non-linéarités sont plus importantes, cette approximation linéaire n’est plus valide et il est nécessaire d’utiliser une représentation non-linéaire. L’objet de ce travail de thèse est de développer des méthodes simples pour l’identification de systèmes non-linéaires. Ces méthodes doivent être suffisamment précises et robustes pour être utilisées dans différents domaines d’application, même si l’étude est principalement limitée aux domaines de l’audio et de l’acoustique dans le cadre de ce travail de thèse. L’ident

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