Titre :	Contribution à la commande adaptative robuste d’une classe de systèmes non linéaires.
Type de document :	texte imprimé
Auteurs :	Nassira Zerari, Auteur ; Mohamed Chemachema, Directeur de thèse
Editeur :	جامعة الإخوة منتوري قسنطينة
Année de publication :	2019
Importance :	155 f.
Note générale :	1 copies imprimées disponibles
Langues :	Français (fre)
Catégories :	Français - Anglais Electronique
Tags :	Electronique:Contrôle des systèmes  Réseau de neurones  commande adaptative  systèmes non linéaires  saturation  zone-morte  fonction de Nussbaum  Neural networks (NNs)  adaptive control  nonlinear systems  dead-zone  Nussbaum function  الشبكة العصبية  التحكم تلاؤمي  أنظمة لاخطية  تشبع  منطقة ميتة  دالة نيسبوم
Index. décimale :	621 Electronique
Résumé :	The main objective of this thesis is the development of adaptive control laws for particular classes of uncertain SISO and MIMO nonlinear systems. The cases of the affine and non-affine systems, the presence of the constraints on the outputs and/or the states as well as the external perturbations are studied. Furthermore, the saturation and dead-zone inputs nonlinearities of the dynamical systems are investigated. In all the proposed approaches, the neural networks are used as universal approximators to estimate the unknown nonlinearities of the dynamical systems. The structures of the proposed controllers deal with the famous problems of explosion of complexity while avoiding the use of the traditional back-stepping technique. The proposed adaptive neural controllers have few online learning parameters compared to similar works. In addition, stability analysis of all control loops is carried out by using the Lyapunov method, and for each scheme, simulation results are given to show its effectiveness.
Diplôme :	Doctorat en sciences
En ligne :	../theses/electronique/ZER7603.pdf
Format de la ressource électronique :	pdf
Permalink :	index.php?lvl=notice_display&id=11301

Contribution à la commande adaptative robuste d’une classe de systèmes non linéaires. [texte imprimé] / Nassira Zerari, Auteur ; Mohamed Chemachema, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2019 . - 155 f.
1 copies imprimées disponibles

Langues : Français (fre)

Catégories :	Français - Anglais Electronique
Tags :	Electronique:Contrôle des systèmes  Réseau de neurones  commande adaptative  systèmes non linéaires  saturation  zone-morte  fonction de Nussbaum  Neural networks (NNs)  adaptive control  nonlinear systems  dead-zone  Nussbaum function  الشبكة العصبية  التحكم تلاؤمي  أنظمة لاخطية  تشبع  منطقة ميتة  دالة نيسبوم
Index. décimale :	621 Electronique
Résumé :	The main objective of this thesis is the development of adaptive control laws for particular classes of uncertain SISO and MIMO nonlinear systems. The cases of the affine and non-affine systems, the presence of the constraints on the outputs and/or the states as well as the external perturbations are studied. Furthermore, the saturation and dead-zone inputs nonlinearities of the dynamical systems are investigated. In all the proposed approaches, the neural networks are used as universal approximators to estimate the unknown nonlinearities of the dynamical systems. The structures of the proposed controllers deal with the famous problems of explosion of complexity while avoiding the use of the traditional back-stepping technique. The proposed adaptive neural controllers have few online learning parameters compared to similar works. In addition, stability analysis of all control loops is carried out by using the Lyapunov method, and for each scheme, simulation results are given to show its effectiveness.
Diplôme :	Doctorat en sciences
En ligne :	../theses/electronique/ZER7603.pdf
Format de la ressource électronique :	pdf
Permalink :	index.php?lvl=notice_display&id=11301