| Titre : |
Contribution à la commande adaptative robuste d’une classe de systèmes non linéaires. |
| Type de document : |
texte imprimé |
| Auteurs : |
Mohamed Chemachema, Directeur de thèse |
| Mention d'édition : |
14/11/2019 |
| Editeur : |
جامعة الإخوة منتوري قسنطينة |
| Année de publication : |
2019 |
| Importance : |
155 f. |
| Format : |
30 cm. |
| Note générale : |
1 copies imprimées disponibles
|
| Langues : |
Français (fre) |
| 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 |
| 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=11439 |
Contribution à la commande adaptative robuste d’une classe de systèmes non linéaires. [texte imprimé] / Mohamed Chemachema, Directeur de thèse . - 14/11/2019 . - جامعة الإخوة منتوري قسنطينة, 2019 . - 155 f. ; 30 cm. 1 copies imprimées disponibles
Langues : Français ( fre)
| 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 |
| 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=11439 |
|
Contribution à la commande adaptative robuste d’une classe de systèmes non linéaires.
