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Titre : Commande adaptative floue des systèmes non linéaires Type de document : texte imprimé Auteurs : Abdelhamid Bounemeur, Auteur ; Mohamed Chemachema, Directeur de thèse Editeur : constantine [Algérie] : Université Constantine 1 Année de publication : 2014 Importance : 96 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Systèmes flous (Takagi-Sugeno) Commande floue Commande non linéaire Commande adaptative Systèmes non linéaires Stabilité de Lyapunov Gain de Nussbaum Fuzzy systems (Takagi-Sugeno) Fuzzy control Nonlinear control Adaptive control Nonlinear systems Lyapunov stability Nussbaum Gain ???? ???? )?????? ??????( ?????? ?????? ?????? ??? ????? ?????? ???????? ??????? ??? ?????? ???????
???????? ????? ??? ??????Index. décimale : 621 Electronique Résumé : In this thesis, we considered the tracking control of a class of single-input single-output (SISO), and multi-input multi-output (MIMO) nonlinear uncertain systems, affine in control.
We have proposed for a single-input single-output nonlinear systems three adaptive fuzzy control schemes, the first control scheme consist to approximate the feedback linearization law, by using the fuzzy system of Takagi-Sugeno type (direct approach) the second control scheme based on the approximation of the unknown nonlinear dynamics of the system, by using two fuzzy systems of Takagi-Sugeno type (indirect approach) in the third control scheme, we kept the structure of the second proposed scheme, but with the assumption that the sign of the control gain is unknown. For multi-input multi-output systems we have proposed an indirect adaptive fuzzy control scheme. The analysis of stability and robustness of the proposed control schemes are performed by using the Lyapunov synthesis method, and for each scheme, simulation results
Diplôme : Magistère En ligne : ../theses/electronique/BOU6685.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=9937 Commande adaptative floue des systèmes non linéaires [texte imprimé] / Abdelhamid Bounemeur, Auteur ; Mohamed Chemachema, Directeur de thèse . - constantine (Route ain el bey, Algérie) : Université Constantine 1, 2014 . - 96 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Systèmes flous (Takagi-Sugeno) Commande floue Commande non linéaire Commande adaptative Systèmes non linéaires Stabilité de Lyapunov Gain de Nussbaum Fuzzy systems (Takagi-Sugeno) Fuzzy control Nonlinear control Adaptive control Nonlinear systems Lyapunov stability Nussbaum Gain ???? ???? )?????? ??????( ?????? ?????? ?????? ??? ????? ?????? ???????? ??????? ??? ?????? ???????
???????? ????? ??? ??????Index. décimale : 621 Electronique Résumé : In this thesis, we considered the tracking control of a class of single-input single-output (SISO), and multi-input multi-output (MIMO) nonlinear uncertain systems, affine in control.
We have proposed for a single-input single-output nonlinear systems three adaptive fuzzy control schemes, the first control scheme consist to approximate the feedback linearization law, by using the fuzzy system of Takagi-Sugeno type (direct approach) the second control scheme based on the approximation of the unknown nonlinear dynamics of the system, by using two fuzzy systems of Takagi-Sugeno type (indirect approach) in the third control scheme, we kept the structure of the second proposed scheme, but with the assumption that the sign of the control gain is unknown. For multi-input multi-output systems we have proposed an indirect adaptive fuzzy control scheme. The analysis of stability and robustness of the proposed control schemes are performed by using the Lyapunov synthesis method, and for each scheme, simulation results
Diplôme : Magistère En ligne : ../theses/electronique/BOU6685.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=9937 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité BOU/6685 BOU/6685 Thèse Bibliothèque principale Thèses Disponible
Titre : Contribution à la commande adaptative optimale d’ordre fractionnaire. Type de document : texte imprimé Auteurs : Bachir Bourouba, Auteur ; Samir Ladaci, Directeur de thèse ; Abdelhafid Chaabi, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2018 Importance : 121 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Calcul fractionnaire système de commande d'ordre fractionnaire commande adaptative à modèle de référence commande optimale commande par mode glissant commande floue commande adaptative optimisation Fractional calculus Fractional order control system Model reference adaptive control Optimal control Sliding mode control Adaptive control Optimization ?????? ?????? ???? ?????? ?????? ?????? ??????? ?? ????? ????? ?????? ?? ??? ???????? ??????
?????? ?????? ??????? ???????Index. décimale : 621 Electronique Résumé : This work focuses on the introduction of optimization techniques in fractional adaptive control systems and on optimized approximation of fractional systems with reduced order models for identification and control purpose. Indeed, a new technique of approximation has been proposed in this direction, using the DE (differential evolution) technique while showing its advantage compared to other famous techniques such as those developed by Charef or Oustaloup.
Fractional adaptive control laws with optimized parameters are developed in order to improve the control system behavior: In the case of fractional order linear systems, a model reference PID control based on a new optimization algorithm (Moth-Flame) has been proposed. In the case of fractional order chaotic nonlinear systems, the following approaches are considered: a first control with adaptive sliding mode to improve performance and robustness. Since fuzzy systems are universal approximators, this property is exploited to strengthen the previous control law by an
adaptive fuzzy controller. For an optimal control, the parameters of the sliding controller are calculated by PSO optimization technique. In all the previous cases, the analysis of stability and robustness are justified by the Lyapunov approach. The theoretical results are validated by simulation examples.
Diplôme : Doctorat en sciences En ligne : ../theses/electronique/BOU7191.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10772 Contribution à la commande adaptative optimale d’ordre fractionnaire. [texte imprimé] / Bachir Bourouba, Auteur ; Samir Ladaci, Directeur de thèse ; Abdelhafid Chaabi, Directeur de thèse . - [S.l.] : جامعة الإخوة منتوري قسنطينة, 2018 . - 121 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Calcul fractionnaire système de commande d'ordre fractionnaire commande adaptative à modèle de référence commande optimale commande par mode glissant commande floue commande adaptative optimisation Fractional calculus Fractional order control system Model reference adaptive control Optimal control Sliding mode control Adaptive control Optimization ?????? ?????? ???? ?????? ?????? ?????? ??????? ?? ????? ????? ?????? ?? ??? ???????? ??????
?????? ?????? ??????? ???????Index. décimale : 621 Electronique Résumé : This work focuses on the introduction of optimization techniques in fractional adaptive control systems and on optimized approximation of fractional systems with reduced order models for identification and control purpose. Indeed, a new technique of approximation has been proposed in this direction, using the DE (differential evolution) technique while showing its advantage compared to other famous techniques such as those developed by Charef or Oustaloup.
Fractional adaptive control laws with optimized parameters are developed in order to improve the control system behavior: In the case of fractional order linear systems, a model reference PID control based on a new optimization algorithm (Moth-Flame) has been proposed. In the case of fractional order chaotic nonlinear systems, the following approaches are considered: a first control with adaptive sliding mode to improve performance and robustness. Since fuzzy systems are universal approximators, this property is exploited to strengthen the previous control law by an
adaptive fuzzy controller. For an optimal control, the parameters of the sliding controller are calculated by PSO optimization technique. In all the previous cases, the analysis of stability and robustness are justified by the Lyapunov approach. The theoretical results are validated by simulation examples.
Diplôme : Doctorat en sciences En ligne : ../theses/electronique/BOU7191.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10772 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité BOU/7191 BOU/7191 Thèse Bibliothèque principale Thèses Disponible
