Letteratura scientifica selezionata sul tema "Identification de systèmes robotiques"
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Articoli di riviste sul tema "Identification de systèmes robotiques"
Juliano Martins, Renato, Emil Marinov, M. Aziz Ben Youssef, Christina Kyrou e Patrice Genevet. "Les métasurfaces optiques pour les lidars à large champ et à haute cadence d’imagerie". Photoniques, n. 115 (8 agosto 2022): 41–45. http://dx.doi.org/10.1051/photon/202211541.
Testo completoDelaborde, Agnès. "Les problématiques de l’évaluation et de la certification des systèmes robotiques autonomes". Revue Défense Nationale N° Hors-série, HS1 (7 dicembre 2018): 219–28. http://dx.doi.org/10.3917/rdna.hs04.0219.
Testo completode Boisboissel, Gérard. "De l’autonomie dans les systèmes robotiques militaires et de la place de l’homme". Revue Défense Nationale N° 791, n. 6 (1 giugno 2016): 142–48. http://dx.doi.org/10.3917/rdna.791.0142.
Testo completoFleck, Stéphanie, e Luc Massou. "Le numérique pour l’apprentissage collaboratif : nouvelles interfaces, nouvelles interactions". Médiations et médiatisations, n. 5 (29 gennaio 2021): 3–10. http://dx.doi.org/10.52358/mm.vi5.191.
Testo completoBeaudouin, Charles. "L’impact des systèmes robotiques militaires pour l’armée de Terre et les enjeux liés à leur autonomie". Revue Défense Nationale N° Hors-série, HS1 (7 dicembre 2018): 17–22. http://dx.doi.org/10.3917/rdna.hs04.0017.
Testo completoJedidi, Safa, Romain Bourdais, Jean Buisson e Marie-Anne Lefebvre. "Identifiabilité structurelle et identification de systèmes interconnectés". Journal Européen des Systèmes Automatisés 50, n. 1-2 (28 aprile 2017): 137–55. http://dx.doi.org/10.3166/jesa.50.137-155.
Testo completoLagrange, Sébastien, Luc Jaulin, Christian Jutten e Vincent Vigneron. "Identification en aveugle des paramètres de systèmes non linéaires". Journal Européen des Systèmes Automatisés 40, n. 8 (30 ottobre 2006): 847–66. http://dx.doi.org/10.3166/jesa.40.847-866.
Testo completoKlein, Stéphane, Jean-Jacques Lesage e Litz Lothar. "Identification comportementale des systèmes logiques en vue de leur surveillance". Journal Européen des Systèmes Automatisés 39, n. 1-3 (30 aprile 2005): 111–26. http://dx.doi.org/10.3166/jesa.39.111-126.
Testo completoGarcés, Francisco, Ahmed Mébarki, Carlos Genatios e Marianela Lafuente. "Identification des rigidités résiduelles de systèmes à murs porteurs chaînés". Revue Française de Génie Civil 8, n. 8 (novembre 2004): 889–903. http://dx.doi.org/10.1080/12795119.2004.9692633.
Testo completoAbdi, R. El, e G. Gambart. "Sur les opérateurs différentiels symétrisants relatifs aux systèmes non-conservatifs". Canadian Journal of Physics 76, n. 5 (1 maggio 1998): 403–20. http://dx.doi.org/10.1139/p98-008.
Testo completoTesi sul tema "Identification de systèmes robotiques"
Laroche, Edouard. "Identification et Commande Robuste de Systèmes Électromécaniques". Habilitation à diriger des recherches, Université Louis Pasteur - Strasbourg I, 2007. http://tel.archives-ouvertes.fr/tel-00354139.
Testo completoCe mémoire est organisé autour des trois systèmes applicatifs traités. A chacun d'entre eux est consacré une partie distincte. Puisqu'une grande partie des problématiques scientifiques traitées est transversale et abordée pour plusieurs systèmes, j'ai choisi de les introduire dans la première partie de ce rapport.
Nasser, Habib. "Systèmes mécatroniques à base d’observateurs embarqués pour la surveillance et le pilotage de Systèmes Automatisés à Structures Variables". Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4326.
Testo completoThis thesis deals with the modeling, simulation and control of mechatronic systems. Symbolic computation software Maple was used to generate several models with different targets for diagnosis purposes, monitoring and driver assistance. These models based both on robotic and energetic approaches, highlight the properties and characteristics of the vehicle dynamics according to the trajectory and allow to achieve Fault , Detection and Isolation (FDI) development. This initial work led to mechatronics and energy analysis applied to All Terrain Vehicles (ATV). A dynamic spiting of the studied vehicle in several functional blocks was carried out. The evolution of the coupling terms was studied and defining a global energetic sub-division for the whole system. Within the framework of the ANR project, a 16 degrees of freedom (DOF) dynamic model was developed for a farm grape harvester (G7) and for C5 car. Dynamic parameters Identification using real data in driving simulation environment proposed by Oktal (SCANeR Studio). Regarding the robust observers development, the sliding mode theory was applied. The road profiles (slope, tilt,drift) are estimated with observers. The criterion of rollover has been tested on the dynamics of a Citroen C5 car and on the G7.240.In order to have an experimental demonstrator a device using the new Arduino technology containing a set of sensors has been developed. In a last part, the dynamic behaviour of an electric kart with the field-oriented control (FOC) of its electrical engine are given. With Matlab/Simulink software and Bond Graph, a simulator of the electrical Kart has been developed
Mahé, Antoine. "Identification de systèmes par réseaux de neurones pour la commande prédictive". Electronic Thesis or Diss., CentraleSupélec, 2020. http://www.theses.fr/2020CSUP0010.
Testo completoDeveloping mobile robotic allow to address ever more complex task autonomously.This thesis is part of the GRoNe project which aim at improving knowledge and experimentation on this topic. In this context automation is a key element. Developing efficient control algorithm is a step in that direction. Model predictive control has shown good result and interesting advantages in mobile robotic. Implementing this algorithm require precise system modelling in order to predict their evolution. In robotic modelling is usually solved by system identification. In this context machine learning is often a powerful tool. In order to model robotic system, data collection of their behaviour both in simulation and on the real platform have been collected. Several neural network architecture have been compared. Collected sample may not correspond to the condition of target task making part of the training irrelevant. A solution to that problem is to use prioritization during the training. Two prioritization scheme are compared. Modelling is only a step toward control. Thus it is important to test the obtained model as part of the whole control algorithm. The application of this controller to a drone and a boat, in simulation as well as on the real platform, allow to study its advantages. In the end a model train with prioritization is used in a model predictive controller on the real boat to perform shore following in an artificial lac
Le, Van Luong. "Identification de systèmes dynamiques hybrides : géométrie, parcimonie et non-linéarités". Electronic Thesis or Diss., Université de Lorraine, 2013. http://www.theses.fr/2013LORR0102.
Testo completoIn automatic control, obtaining a model is always the cornerstone of the synthesis procedures such as controller design, fault detection or prediction... This thesis deals with the identification of a class of complex systems, hybrid dynamical systems. These systems involve the interaction of continuous and discrete behaviors. The goal is to build a model from experimental measurements of the system inputs and outputs. A new approach for the identification of linear hybrid systems based on the geometric properties of hybrid systems in the parameter space is proposed. A new algorithm is then proposed to recover the sparsest solutions of underdetermined systems of linear equations. This allows us to improve an identification approach based on the error sparsification. In addition, new approaches based on kernel models are proposed for the identification of nonlinear hybrid systems and piecewise smooth systems
Canart, Régis. "Contribution à la commande adaptative et prédictive". Lille 1, 1997. http://www.theses.fr/1997LIL10143.
Testo completoLe, Van Luong. "Identification de systèmes dynamiques hybrides : géométrie, parcimonie et non-linéarités". Phd thesis, Université de Lorraine, 2013. http://tel.archives-ouvertes.fr/tel-00874283.
Testo completoAl, Mohammad Hussam A. "Contribution à la coordination commande-perception tactile dans les systèmes d'assemblage automatisés". Paris 11, 1985. http://www.theses.fr/1985PA112086.
Testo completoIn this thesis, we describe the dynamic command of a manipulator having six degrees of freedom. This command is shown to have kinematic and dynamic optimal properties. In part 2 a trajectory generation algorithm is presented. This algorithm is used for a manipulator or robot for non-null speed movements in Cartesian space. In the third and the fourth parts, we describe the tactile sensor which has been developed, and its use in grasping and in identifying object images
Brunot, Mathieu. "Identification of rigid industrial robots - A system identification perspective". Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/20776/1/BRUNOT_Mathieu_20776.pdf.
Testo completoTout, Bilal. "Identification of human-robot systems in physical interaction : application to muscle activity detection". Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2024. https://ged.uphf.fr/nuxeo/site/esupversions/36d9eab3-c170-4e40-abb6-e6b4e27aeee2.
Testo completoOver the last years, physical human-robot interaction has become an important research subject, for example for rehabilitation applications. This PhD aims at improving these interactions, as part of model-based controllers development, using parametric identification approaches to identify models of the systems in interaction. The goal is to develop identification methods taking into account the variability and complexity of the human body, and only using the sensor of the robotic system to avoid adding external sensors. The different approaches presented in this thesis are tested experimentally on a one degree of freedom (1-DOF) system allowing the interaction with a person’s hand.After a 1st chapter presenting the state-of-the-art, the 2nd chapter tackles the identification methods developed in robotics as well as the issue of data filtering, analyzed both in simulation and experimentally. The question of the low-pass filter tuning is addressed, and in particular the choice of the cut-off frequency which remains delicate for a nonlinear system. To overcome these difficulties, a filtering technique using an extended Kalman filter (EKF) is developed from the robot dynamic model. The proposed EKF formulation allows a filter tuning depending on the known properties of the sensor and on the confidence on the initial parameters estimations. This method is compared in simulation and experimentally to different existing methods by analyzing its sensitivity to initialization and filter tuning. Results show that the proposed method is promising if the EKF is correctly tuned.The 3rd chapter concerns the continuous identification of the parameters of the model of a passive system interacting with a robotic system, by combining payload identification methods with online identification algorithms, without external sensors. These methods are validated in simulation and experimentally with the 1-DOF system whose handle is attached to elastic rubber bands to emulate a passive human joint. The analysis of the effects of the online methods tuning highlights a necessary trade-off between the convergence speed and the accuracy of the parameters estimates. Finally, the comparison of the payload identification methods shows that methods identifying separately the robotic system and the passive human parameters give better accuracy and a lower computation complexity.The 4th chapter deals with the identification during the human-robot interaction. A quadratic stiffness model is proposed to better fit the passive human joint behavior than a linear stiffness model. Then, this model is used with an iterative identification method based on outlier rejection technique, to detect the human user muscle activity without external sensors. This method is compared experimentally to a non-iterative method that uses electromyography (EMG), by adapting the 1-DOF system to interact with the wrist and to allow the detection of the flexor and extensor muscle activity of two human users. The proposed iterative identification method not using EMG signals achieves results close to those obtained with the non-iterative method using EMG signals when a model that correctly represents the passive human joint behavior is selected. The muscle activity detection results obtained with both methods show a satisfactory level of similarity compared to those obtained directly from EMG signals
Fellouah, Rabah. "Contribution au diagnostic de pannes pour les systèmes différentiellement plats". Phd thesis, INSA de Toulouse, 2007. http://tel.archives-ouvertes.fr/tel-00206317.
Testo completoLibri sul tema "Identification de systèmes robotiques"
Lopez, Pierre. Commande des systèmes robotiques: Applications. Paris: Editests, 1986.
Cerca il testo completoBendat, Julius S. Nonlinear system analysis and identification from random data. New York: Wiley, 1990.
Cerca il testo completoDaniel, Baragiotta, e Québec (Province). Direction des normes et du soutien à la santé animale., a cura di. Permanent identification management information system (PIMIS/SIGIP): Mission report to France and Belgium. [Québec]: Gouvernement du Québec, Ministère de l'agriculture, des pêcheries et de l'alimentation, Direction générale de la qualité des aliments et de la santé animale, Direction des normes et du soutien à la santé animale, 1997.
Cerca il testo completoM, Milanese, a cura di. Bounding approaches to system identification. New York: Plenum Press, 1996.
Cerca il testo completoCanada. Groupe de travail interministériel spécial concernant les systèmes d'information sur les délinquants sexuels qui s'en prennent à des enfants. Systèmes d'information sur les délinquants sexuels qui s'en prennent à des enfants: Document de travail. Ottawa, Ont: Santé Canada, 1994.
Cerca il testo completoT, Leondes Cornelius, a cura di. System identification and adaptive control. Orlando: Academic Press, 1987.
Cerca il testo completoChabrier, Jean-Claude Ch. Analyses de musiques traditionnelles: Identification de systèmes acoustiques, scalaires, modaux & instrumentaux : représentation morpho-mélodique, structuro-modale & du langage instrumental. Paris: Arabesques, 1996.
Cerca il testo completoAcharya, Lalita. La biométrie et son usage par l'état. Ottawa, Ont: Service d'information et de recherche parlementaires, 2006.
Cerca il testo completo1977-, Zhang Yan, Yang Laurence Tianruo e Chen Jiming 1978-, a cura di. RFID and sensor networks: Architectures, protocols, and integrations. Boca Raton, Fla: Taylor & Francis, 2009.
Cerca il testo completoThorsten, Blecker, Huang G. Q e Bajic Eddy, a cura di. RFID in operations and supply chain management: Research and applications. Berlin: Erich Schmidt Verlag, 2008.
Cerca il testo completoCapitoli di libri sul tema "Identification de systèmes robotiques"
Godoy, Emmanuel. "7. Identification des systèmes linéaires". In Régulation industrielle, 117–49. Dunod, 2019. http://dx.doi.org/10.3917/dunod.godoy.2019.01.0117.
Testo completo"Identification des processus d’affaires". In Le développement de systèmes d'information, 255–60. Presses de l'Université du Québec, 2013. http://dx.doi.org/10.1515/9782760536999-012.
Testo completoAguilera, Monica, Marie Balasse, Sébastien Lepetz e Véronique Zech-Matterne. "Amender les sols cultivés avec des fumiers et déchets domestiques : une origine multimillénaire pour un enjeu majeur du développement durable". In Regards croisés: quand les sciences archéologiques rencontrent l'innovation, 51–72. Editions des archives contemporaines, 2017. http://dx.doi.org/10.17184/eac.3790.
Testo completoAtti di convegni sul tema "Identification de systèmes robotiques"
PERHERIN, Céline, Celine TRMAL, Frederic PONS e Celine BOURA. "Identification et analyse des systèmes de défense contre les submersions marines". In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2016. http://dx.doi.org/10.5150/jngcgc.2016.068.
Testo completo