Littérature scientifique sur le sujet « Commandes robustes/adaptatives »
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Articles de revues sur le sujet "Commandes robustes/adaptatives"
Ferreres, Gilles, et Patrice Antoinette. « Commande adaptative à base d’auto-séquencement et de robustesse ». Journal Européen des Systèmes Automatisés 45, no 4-6 (30 août 2011) : 279–98. http://dx.doi.org/10.3166/jesa.45.279-298.
Texte intégralVan der Noot, Nicolas, Auke Jan Ijspeert et Renaud Ronsse. « Bio-inspired controller achieving forward speed modulation with a 3D bipedal walker ». International Journal of Robotics Research 37, no 1 (janvier 2018) : 168–96. http://dx.doi.org/10.1177/0278364917743320.
Texte intégralDanell, Öje. « The robustness of reindeer husbandry – need for a new approach to elucidate opportunities and sustainability of the reindeer industry in its socio-ecological context (In Swedish with Summary in English) ». Rangifer 25, no 3 (1 avril 2005) : 39. http://dx.doi.org/10.7557/2.25.3.1737.
Texte intégralThèses sur le sujet "Commandes robustes/adaptatives"
Xu, Shi Jie. « Contribution à la commande robuste et adaptative : application aux robots manipulateurs ». Nancy 1, 1995. http://www.theses.fr/1995NAN10313.
Texte intégralConstantinescu, Aurelian. « Commande robuste et adaptative d'une suspension active ». Grenoble INPG, 2001. http://www.theses.fr/2001INPG0130.
Texte intégralOuattara, Seydou. « Mise en œuvre d'une loi de commande adaptative floue indirecte ». Valenciennes, 1996. https://ged.uphf.fr/nuxeo/site/esupversions/34633a72-0657-4c61-8628-c72bea21021e.
Texte intégralAntoinette, Patrice Luc. « Techniques de robustesse et d'auto-séquencement pour la commande auto-adaptative des aéronefs ». Thesis, Toulouse, ISAE, 2012. http://www.theses.fr/2012ESAE0018/document.
Texte intégralMany linear methods exist to design a robust controller for an uncertain linear system. This thesis considered the situation where the range of possible values of parameters is "very large" in relation to "small" variations in the desired level of performance. Frequently, an increase in robustness is obtained at the expense of a performance loss. The use of scheduled controllers may be an innovative way to address this problem. The implementation of this solution requires the controller has at its disposal the parameters on which the scheduling is done. However, it may occur that making the measure of the parameters available is not desired (for example, because of practical implementation aspects) or not possible. In these situations, the designer of the controller is led to estimate these parameters and then to use the paradigm of adaptive control. This thesis explored a methodology for designing an adaptive controller in which to solve the problem of robust control for an uncertain linear plant. A theoretical study was first undertaken which aimed to propose such a methodology; followed by, a study of the case of an unstable airplane as an application. Such an analysis highlighted the benefits that the proposed strategy can bring to the control for an uncertain plant
Giri, Fouad. « Convergence et robustesse en commande adaptative indirecte ». Grenoble 2 : ANRT, 1988. http://catalogue.bnf.fr/ark:/12148/cb37613938g.
Texte intégralIkhouane, Fayçal. « Commande adaptative non-linéaire. : Synthèse Robuste et Analyse Transitoire ». Caen, 2001. http://www.theses.fr/2001CAEN2043.
Texte intégralOuddah, Nadir. « Commande robuste de machines à réluctance variable pour la traction de véhicules électriques ». Thesis, Cergy-Pontoise, 2015. http://www.theses.fr/2015CERG0789.
Texte intégralThe switched reluctance motor (SRM) is gaining much interest in electric vehicle applications. It includes robustness to harsh operational conditions, rugged structure, fault tolerant operation and a wide range of speed. However, due to the highly nonlinear electromagnetic characteristic, wear and tear of motor, manufacturing tolerances and parameters drift during operation, classical control strategies do not ensure high dynamical performance and robustness under various operating conditions in electric vehicle environment. In this context, the first purpose of this thesis is to propose robust control strategies of the SRM taking into account the constraints imposed by electric vehicle applications. To achieve this objective, a cascade control scheme is adopted; it consists of an outer speed loop and an inner current loop. Controllers design aims are fixed through specifications formulated in frequency domain, robust and adaptive controllers of speed and currents are thus synthesized based on H- infini and LPV/H- infini control approaches. Feasibility of these controllers is also an important criterion in electric vehicles applications where embedded computing power is very limited. This criterion is taken into account in this thesis by using fixed order controller synthesis approaches. The performances of these controllers are analyzed and compared with the performances of standard H- infini controllers through an experimental evaluation and a robustness analysis is performed using the concept of the Singular Structured Value, i.e. the μ-analysis. The second objective of this thesis is to assess the interest of the sensorless control of SRM. Robust observers based on second order sliding mode (SMO2) and Kalman filtering techniques (EKF) are designed to estimate the mechanical states of SRM. Performances and robustness of these observers are then compared experimentally in perspective of electric vehicle application
Hussain, Ayman. « Contribution à la commande adaptative robuste par modes glissants ». Reims, 2008. http://theses.univ-reims.fr/exl-doc/GED00000994.pdf.
Texte intégralThis thesis aims to develop a family of adaptive robust sliding modes for a large class of non-linear uncertain and disturbed. Two control laws were developed. In the first, the model system has been reformed such that all the unknown dynamics are combined in one function and then use a single approximation. In this context, fuzzy wavelet networks were first used thanks to their rapid convergence but they don’t give good results in the presence of uncertain linguistic information. To resolve this, a fuzzy system of type-2 was used. To ensure robustness against external disturbances, uncertainty and approximation errors, the sliding mode has been proposed. To reduce the stresses at the start of the signal, a non-linear was introduced. The control law is built to ensure the robustness and overall stability of the closed system in addition to it’s capacity of eliminating the phenomenon of chattering in the case of classical sliding mode. However, the choice of the gains of the sliding surface becomes complicated for systems of order greater than 2. To overcome this problem, a new control law using sliding mode has been proposed. The main advantage of this approach is that the sliding surface has been modified so that the approach has been removed which makes the system more robust and increases its speed of convergence to the reference signal. .
Hussain, Ayman Zaytoon Janan Hamzaoui Abdelaziz. « Contribution à la commande adaptative robuste par modes glissants ». Reims : S.C.D. de l'Université, 2008. http://scdurca.univ-reims.fr/exl-doc/GED00000994.pdf.
Texte intégralCanart, Régis. « Contribution à la commande adaptative et prédictive ». Lille 1, 1997. http://www.theses.fr/1997LIL10143.
Texte intégralLivres sur le sujet "Commandes robustes/adaptatives"
Robust And Adaptive Model Predictive Control Of Nonlinear Systems. Institution of Engineering & Technology (IET), 2012.
Trouver le texte intégralAdetola, Veronica, Darryl DeHaan et Martin Guay. Robust and Adaptive Model Predictive Control of Nonlinear Systems. Institution of Engineering & Technology, 2016.
Trouver le texte intégralActes de conférences sur le sujet "Commandes robustes/adaptatives"
Pacini, Francesco, Giacomo Paoli, Iván Cayón, Tamara Rivera, Beatriz Sarmiento, Konstantin Kebkal, Oleksiy Kebkal et al. « The SWARMs Approach to Integration of Underwater and Overwater Communication Sub-Networks and Integration of Heterogeneous Underwater Communication Systems ». Dans ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-78772.
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