| Titre : |
Contribution à l’implémentation de nouvelles approches de synchronisation hybride des systèmes chaotiques à paramètres incertains. |
| Type de document : |
texte imprimé |
| Auteurs : |
Zakaria Driss, Auteur ; Noura Mansouri, Directeur de thèse |
| Editeur : |
جامعة الإخوة منتوري قسنطينة |
| Année de publication : |
2017 |
| Importance : |
129 f. |
| Format : |
30 cm. |
| Note générale : |
2 copies imprimées disponibles
|
| Langues : |
Français (fre) |
| Catégories : |
Français - Anglais
Electronique
|
| Tags : |
systèmes chaotiques synchronisation Synchronisation hybride GPC Automatique Traitement du signal |
| Index. décimale : |
621 Electronique |
| Résumé : |
The aim of the thesis is to consider the performance of some control methods towards the
problem of hybrid synchronization of uncertain chaotic systems. These systems are
interesting due to the sensitive dependence on initial conditions or what is called the butterfly
effect; this feature makes chaotic systems exhibit random behavior. Therefore, the
synchronization of chaotic systems with uncertain parameters is an attractive problem,
especially in the field of secure communication, that has been intensively studied in the last
two decades. The problem of uncertainties on the parameters, in the field of nonlinear control
systems, has been solved especially when advanced control methods are used. However, the
effect of synchronization of two chaotic systems with uncertain parameters and hybrid
synchronization type on some advanced control method is still questionable. The thesis is
composed of three main points, each of them dealing with the studied problem from a
different aspect.
In the first point, we considered the performance of adaptive synchronization in which selftuning adaptive control and active control method are used. This approach has been used
intensively to solve the studied problem, but many problems have been reported, and one of
the problems is the wrong estimation of the unknown parameters. This problem occurs when
two identical or partially identical chaotic systems are synchronized in which the
synchronization prevents the adaptation laws to estimate the true values of the unknown
parameters. This problem is considered in chapter 2 of the thesis in which we explained the
problem, gave the proposed solutions, and the contribution.
In the second point, predictive control, particularly generalized predictive control (GPC), has
been considered. This approach is sort of complex control method in which the accuracy of
the model plays a vital role during the control process. Therefore, we examined, in chapter 3,
the performance of GPC towards the studied problem. This chapter consists of two parts. Part
one focuses on GPC based on fuzzy PID controllers in which we discussed the roll of the
linear model. Part two investigates the performance of GPC based on a neural network model
(NNGPC).
In the first point and the second point, the synchronization type used is complete
synchronization. Therefore, in the third point (chapter 4), we addressed the problem of
hybrid synchronization of uncertain chaotic systems in which we investigated the
performance of the studied control methods.
In general, the effect of synchronization or hybrid synchronization of uncertain chaotic
systems on some advanced control methods is partial. The field of chaos synchronization
using feedback control is an independent field of research, but the performance of studied
methods may not be satisfying when the field of secure communication is involved. |
| Diplôme : |
Doctorat |
| En ligne : |
../theses/electronique/DRI7102.pdf |
| Format de la ressource électronique : |
pdf |
| Permalink : |
index.php?lvl=notice_display&id=10499 |
Contribution à l’implémentation de nouvelles approches de synchronisation hybride des systèmes chaotiques à paramètres incertains. [texte imprimé] / Zakaria Driss, Auteur ; Noura Mansouri, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2017 . - 129 f. ; 30 cm. 2 copies imprimées disponibles
Langues : Français ( fre)
| Catégories : |
Français - Anglais
Electronique
|
| Tags : |
systèmes chaotiques synchronisation Synchronisation hybride GPC Automatique Traitement du signal |
| Index. décimale : |
621 Electronique |
| Résumé : |
The aim of the thesis is to consider the performance of some control methods towards the
problem of hybrid synchronization of uncertain chaotic systems. These systems are
interesting due to the sensitive dependence on initial conditions or what is called the butterfly
effect; this feature makes chaotic systems exhibit random behavior. Therefore, the
synchronization of chaotic systems with uncertain parameters is an attractive problem,
especially in the field of secure communication, that has been intensively studied in the last
two decades. The problem of uncertainties on the parameters, in the field of nonlinear control
systems, has been solved especially when advanced control methods are used. However, the
effect of synchronization of two chaotic systems with uncertain parameters and hybrid
synchronization type on some advanced control method is still questionable. The thesis is
composed of three main points, each of them dealing with the studied problem from a
different aspect.
In the first point, we considered the performance of adaptive synchronization in which selftuning adaptive control and active control method are used. This approach has been used
intensively to solve the studied problem, but many problems have been reported, and one of
the problems is the wrong estimation of the unknown parameters. This problem occurs when
two identical or partially identical chaotic systems are synchronized in which the
synchronization prevents the adaptation laws to estimate the true values of the unknown
parameters. This problem is considered in chapter 2 of the thesis in which we explained the
problem, gave the proposed solutions, and the contribution.
In the second point, predictive control, particularly generalized predictive control (GPC), has
been considered. This approach is sort of complex control method in which the accuracy of
the model plays a vital role during the control process. Therefore, we examined, in chapter 3,
the performance of GPC towards the studied problem. This chapter consists of two parts. Part
one focuses on GPC based on fuzzy PID controllers in which we discussed the roll of the
linear model. Part two investigates the performance of GPC based on a neural network model
(NNGPC).
In the first point and the second point, the synchronization type used is complete
synchronization. Therefore, in the third point (chapter 4), we addressed the problem of
hybrid synchronization of uncertain chaotic systems in which we investigated the
performance of the studied control methods.
In general, the effect of synchronization or hybrid synchronization of uncertain chaotic
systems on some advanced control methods is partial. The field of chaos synchronization
using feedback control is an independent field of research, but the performance of studied
methods may not be satisfying when the field of secure communication is involved. |
| Diplôme : |
Doctorat |
| En ligne : |
../theses/electronique/DRI7102.pdf |
| Format de la ressource électronique : |
pdf |
| Permalink : |
index.php?lvl=notice_display&id=10499 |
|
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