V. Bibliographie, A. Agelidis, . Balouktsis-et-c, and . Cossar, On attaining the multiple solutions of selective harmonic elimination pwm three-level waveforms through function minimization, IEEE Transactions on Industrial Electronics, vol.55, issue.87, pp.996-1004, 2008.

H. Akagi, New trends in active filters for power conditioning, IEEE Transactions on Industry Applications, vol.32, issue.6, pp.1312-1322, 1996.
DOI : 10.1109/28.556633

H. Akagi, Trends in active power line conditioners, IEEE Transactions on Power Electronics, vol.9, issue.3, pp.263-268, 1994.
DOI : 10.1109/63.311258

H. Akagi, Active Harmonic Filters, Proceedings of the IEEE, pp.2128-2141, 2005.
DOI : 10.1109/JPROC.2005.859603

H. Akagi, E. H. Watanabe-et-m, and . Aredes, Instantaneous Power Theory and Applications to Power Conditioning, pp.65-74, 2007.
DOI : 10.1002/9781119307181

J. S. Albus, A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC), Journal of Dynamic Systems, Measurement, and Control, vol.97, issue.3
DOI : 10.1115/1.3426922

S. Bibliographie and . Amari, Estimating functions of independent component analysis for temporally correlated signals, Neural Computation, vol.12, issue.9, pp.2083-2107, 2000.

S. Amari, Mathematical foundations of neurocomputing, Proceedings of the IEEE, vol.78, issue.9, pp.1443-1463, 1990.
DOI : 10.1109/5.58324

L. Asiminoaei, P. Rodriguez, F. Blaabjerg-et-m, and . Malinowski, Reduction of Switching Losses in Active Power Filters With a New Generalized Discontinuous-PWM Strategy, IEEE Transactions on Industrial Electronics, vol.55, issue.1, pp.467-471, 2008.
DOI : 10.1109/TIE.2007.896554

J. D. Baeten-et-j and . Schutter, Integrated Visual Servoing and Force Control : The Task Frame Approach, p.49, 2003.
DOI : 10.1007/b12687

R. Bansal, T. Bhatti-et-d, and . Kothari, Artificial intelligence techniques for reactive power/voltage control in power systems : A review, International Journal of Power and Energy Systems, vol.23, issue.2, pp.81-89, 2003.

A. K. Barros, J. C. Príncipe-et-d, and . Erdogmus, Independent Component Analysis and Blind Source Separation, Signal Processing, vol.87, issue.8, pp.1817-1818, 2007.
DOI : 10.1016/j.sigpro.2007.03.013

A. G. Bibliographie and . Barto, Reinforcement learning and adaptative critic methods

L. Berthouze, P. Bakker-et-y, and . Kuniyoshi, Learning of oculo-motor control: a prelude to robotic imitation, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96, pp.376-381, 1996.
DOI : 10.1109/IROS.1996.570702

Y. Bi-et-z and . Ren, Power load forecasting based on grey neural network, International Symposium on Industrial Electronics (ISIE'2008), p.58, 2008.

C. Bishop, Neural Networks for Pattern Recognition, p.90, 1995.

Y. Bénédic, Approche analytique pour l'optimisation de réseaux de neurones artificiels

Y. Bénédic, P. Wira-et-j, and . Mercklé, A NEW METHOD FOR THE RE-IMPLEMENTATION OF THRESHOLD LOGIC FUNCTIONS WITH CELLULAR NEURAL NETWORKS, International Journal of Neural Systems, vol.18, issue.04, pp.293-303, 2008.
DOI : 10.1142/S0129065708001609

F. Bonvin, Analyse et mise en oeuvre de méthodes de commande sans capteur pour moteurs synchrones à aimants permanents

B. Bose, Power Electronics and Motor Drives : Advances and Trends, p.81, 2006.
DOI : 10.1109/ciep.2006.312138

J. Urban, Visually guided movements : learning with modular neural maps in robotics, Neural Networks, vol.11, issue.7, pp.1395-1415, 1998.
URL : https://hal.archives-ouvertes.fr/hal-00958069

J. Buessler, J. Urban-et-j, and . Gresser, Additive composition of supervised self-organized maps, Neural Processing Letters, vol.15, issue.1, pp.9-20, 2002.
DOI : 10.1023/A:1013892727067

J. Buessler, R. Kara, P. Wira, H. J. Kihl, and . Urban, Multiple self-organizing maps to facilitate the learning of visuo-motor correlations, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028), pp.470-475, 1999.
DOI : 10.1109/ICSMC.1999.823250

T. Caelli, L. Guan-et-w, and . Wen, Modularity in neural computing, Proceedings of the IEEE, vol.87, issue.9, pp.1497-1518, 1999.
DOI : 10.1109/5.784227

E. Castillo, A. Cobo, J. M. Gutiérrez-et-e, and . Pruneda, Functional Networks With Applications. A Neural Based Paradigm, Kluwer Academic, vol.57, p.105, 1999.

P. Celinski, G. Sherman, J. Lopez-et-d, and . Abbott, A mapping technique for the synthesis of linear threshold gate networks used to implement boolean functions

J. Cexus, Réseaux neuronaux linéaires adaptatifs : Application à la commande d'une tête robotique, pp.2001-52

K. Chan-et-h and . So, Accurate Frequency Estimation for Real Harmonic Sinusoids, IEEE Signal Processing Letters, vol.11, issue.7, pp.609-612, 2004.
DOI : 10.1109/LSP.2004.830115

F. Chaumette-et-s and . Hutchinson, Visual servo control. I. Basic approaches, IEEE Robotics & Automation Magazine, vol.13, issue.4, pp.82-90, 2006.
DOI : 10.1109/MRA.2006.250573

F. Chaumette-et-s and . Hutchinson, Visual servo control. II. Advanced approaches [Tutorial], IEEE Robotics & Automation Magazine, vol.14, issue.1, pp.109-118, 1949.
DOI : 10.1109/MRA.2007.339609

F. Chaumette, La relation vision-commande : théorie et application à des tâches robotiques

F. Chen-et-g and . Chen, REALIZATION AND BIFURCATION OF BOOLEAN FUNCTIONS VIA CELLULAR NEURAL NETWORKS, International Journal of Bifurcation and Chaos, vol.15, issue.07, pp.2109-2129, 2005.
DOI : 10.1142/S0218127405013277

F. Chen, G. He-et-g, and . Chen, Realization of Boolean Functions via CNN: Mathematical Theory, LSBF and Template Design, IEEE Transactions on Circuits and Systems I: Regular Papers, vol.53, issue.10, pp.2203-2213, 2006.
DOI : 10.1109/TCSI.2006.883845

J. Chiasson, L. Tolbert, K. Mckenzie-et-z, and . Du, Real-time computer control of a multilevel converter using the mathematical theory of resultants, Mathematics and Computers in Simulation, vol.63, issue.3-5, pp.197-208, 2003.
DOI : 10.1016/S0378-4754(03)00067-3

J. N. Chiasson, L. M. Tolbert, K. Mckenzie-et-z, and . Du, Control of a multilevel converter using resultant theory, IEEE Transactions on Control Systems Technology, vol.11, issue.3, pp.345-354, 2003.
DOI : 10.1109/TCST.2003.810382

S. Choi, A. Cichocki, H. M. Park-et-s, and . Lee, Blind source separation and independent component analysis : A review, Neural Information Processing -Letters and Review, vol.6, issue.1, pp.1-57, 2005.

T. Chow-et-y and . Yam, Measurement and evaluation of instantaneous reactive power using neural networks, IEEE Transactions on Power Delivery, vol.9, issue.3, pp.1253-1260, 1994.
DOI : 10.1109/61.311151

L. Chua-et-l and . Yang, Cellular neural networks: applications, IEEE Transactions on Circuits and Systems, vol.35, issue.10, pp.1273-1290, 1988.
DOI : 10.1109/31.7601

L. Chua-et-l and . Yang, Cellular neural networks: theory, IEEE Transactions on Circuits and Systems, vol.35, issue.10, pp.1257-1272, 1988.
DOI : 10.1109/31.7600

M. N. Cirstea, A. Dinu, M. G. Mccormick-et-j, and . Khor, Neural and Fuzzy Logic Control of Drives and Power Systems, Newnes, vol.39, p.81, 2002.

P. Comon, C. Jutten-et-j, and . Herault, Blind separation of sources, part II: Problems statement, Signal Processing, vol.24, issue.1, pp.11-21, 1991.
DOI : 10.1016/0165-1684(91)90080-3

L. S. Bibliographie and . Czarnecki, On some misinterpretations of the instantaneous reactive power p-q theory, IEEE Transactions on Power Electronics, vol.19, issue.3, pp.828-836, 2004.

L. Czarnecki-et-t and . Swietlicki, Powers in nonsinusoidal networks: their interpretation, analysis, and measurement, IEEE Transactions on Instrumentation and Measurement, vol.39, issue.2, pp.340-345, 1990.
DOI : 10.1109/19.52512

P. Dash, D. Swain, A. Routray-et-a, and . Liew, An adaptive neural network approach for the estimation of power system frequency, Electric Power Systems Research, vol.41, issue.3, pp.203-210, 1997.
DOI : 10.1016/S0378-7796(96)01186-8

J. W. Dixon, G. A. Venegas-et-l, and . Morán, A series active power filter based on a sinusoidal current-controlled voltage-source inverter, IEEE Transactions on Industrial Electronics, vol.44, issue.5, pp.612-620, 1997.
DOI : 10.1109/41.633455

K. Doya, K. Samejima, K. Katagiri-et-m, and . Kawato, Multiple Model-Based Reinforcement Learning, Neural Computation, vol.3, issue.6, pp.1347-1369, 2002.
DOI : 10.1016/S1364-6613(98)01221-2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.6596

G. Dreyfus, J. Martinez, M. Samuelides, M. Gordon, F. Badran et al., Réseaux de neurones : méthodologie et applications, p.12, 2002.

W. Duch-et-n and . Jankowski, Transfert functions : hidden possibilities for better neural networks, 9th European Symposium on Artificial Neural Networks (ESANN'2001), pp.81-94, 2001.

R. El and . Shatshat, A Novel Modular Approach to Active Power-Line Harmonic Filtering in Distribution Sys- tems

J. Elman, Finding Structure in Time, Cognitive Science, vol.49, issue.2, pp.179-211, 1990.
DOI : 10.1207/s15516709cog1402_1

A. Emanuel, Apparent power definitions for three-phase systems, IEEE Transactions on Power Delivery, vol.14, issue.3, pp.767-772, 1999.
DOI : 10.1109/61.772313

B. Espiau, Prise en compte de l'environnement local dans la commande des robots manipulateurs. Doctorat d'État, 1982.

S. Fan, X. Wang-et-y, and . Zhou, Neural network based predictive control for active power filter, 30th Annual Conference of the IEEE Industrial Electronics Society, p.60, 2004.

P. Filipski, Apparent power - a misleading quantity in the non-sinusoidal power theory: Are all non-sinusoidal power theories doomed to fail?, European Transactions on Electrical Power, vol.6, issue.3, pp.21-26, 1993.
DOI : 10.1002/etep.4450030105

A. Flexer, Connectionists and statisticians, friends or foes?, Lecture Notes in Computer Science, vol.930, pp.454-461, 1995.
DOI : 10.1007/3-540-59497-3_209

D. Flieller, J. Gressier, G. Sturtzer, D. O. Abdeslam-et-p, and . Wira, Optimal currents based on Adalines to control a Permanent Magnet Synchronous Machine, 2008 34th Annual Conference of IEEE Industrial Electronics, p.107, 2008.
DOI : 10.1109/IECON.2008.4758385

D. Flieller, D. Ould-abdeslam, P. Wira-et-j, and . Mercklé, Distortions identification and compensation based on artificial neural networks using symmetrical components of the voltages and the currents, Electric Power Systems Research, vol.79, issue.7, pp.1145-1154, 2009.
DOI : 10.1016/j.epsr.2009.02.008

URL : https://hal.archives-ouvertes.fr/hal-00864160

J. Freixas-et-x and . Molinero, The Greatest Allowed Relative Error in Weights and Threshold of Strict Separating Systems, IEEE Transactions on Neural Networks, vol.19, issue.5, pp.770-781, 2008.
DOI : 10.1109/TNN.2007.912573

P. Gallinari, Modular neural net systems

A. H. Gee, S. V. Aiyer-et-r, and . Prager, An analytical framework for optimizing neural networks, Neural Networks, vol.6, issue.1, pp.79-97, 1993.
DOI : 10.1016/S0893-6080(05)80074-7

P. Gil, A. Dourado-et-j, and . Henriques, State space neural networks and the unscented kalman filter in online nonlinear system identification, IASTED International Conference on Intelligent Systems and Control, p.94, 2001.

P. Gil, J. Henriques, A. Dourado-et-h, and . Duarte-ramos, Stability analysis for a class of affine state-space neural networks, 12th Mediterranean Conference on Control and Automation, p.94, 2004.

P. Gil, J. Henriques, A. Dourado-et-h, and . Duarte-ramos, Order estimation in affine state-space neural networks, Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05., p.94, 2005.
DOI : 10.1109/SMCIA.2005.1466961

P. Gil, J. Henriques, A. Dourado-et-h, and . Duarte-ramos, On State-Space Neural Networks for Systems Identification: Stability and Complexity, 2006 IEEE Conference on Cybernetics and Intelligent Systems, p.94, 2006.
DOI : 10.1109/ICCIS.2006.252333

R. Grino, R. Cardoner, R. Costa-castello, and E. E. Fossas, Digital Repetitive Control of a Three-Phase Four-Wire Shunt Active Filter, IEEE Transactions on Industrial Electronics, vol.54, issue.3, pp.1495-1503, 2007.
DOI : 10.1109/TIE.2007.894790

K. Gulez, Neural network based switching control of ac-ac converter with dc-ac inverter for voltage sags, harmonics and emi reduction using hybrid filter topology. Simulation Modelling Practice and Theory, pp.597-612, 2008.

M. Hagan, H. Demuth-et-m, and . Beale, Neural Network Design, p.12, 1995.

D. Halbwachs, Développement d'architectures neuronales pour l'estimation de la fréquence fondamentale d'un réseau électrique

A. Hammoumi, Stratégies de commandes neuronales pour les moteurs et les onduleurs Liabes, en cours, soutenance prévue en, p.82, 2011.

M. Haruno, D. M. Wolpert-et-m, and . Kawato, MOSAIC Model for Sensorimotor Learning and Control, Neural Computation, vol.84, issue.10, pp.2201-2220, 2001.
DOI : 10.1016/S0893-6080(98)00066-5

S. Haykin-et-j and . Principe, Dynamic modeling with neural networks, IEEE Signal Processing Magazine, vol.15, issue.3, p.58, 1998.

S. Haykin, Neural Networks : A comprehensive Foundation, p.90, 1994.

S. S. Haykin, Adaptive Filter Theory

D. Hebb, The Organization of Behavior, 1949.

J. Henriques, A. Dourado-et-p, and . Gil, State space neural networks in nonlinear adaptive system identification and control, IFAC Workshop on Advanced Fuzzy/Neural Control, p.94, 2001.

J. Hérault-et-c and . Jutten, Réseaux neuronaux et traitement du signal, p.97, 1994.

G. Hermann, Asservissement visuel d'une tête robotique avec un filtre de kalman

G. Hermann, Approche neuromimétique modulaire pour la commande d'un système robot-vision

G. Hermann, P. Wira-et-j.-p, and . Urban, Neural networks organizations to learn complex robotic functions, 11th European Symposium on Artificial Neural Networks (ESANN'2003), pp.33-38, 2003.

G. Hermann, P. Wira-et-j.-p, and . Urban, A modular learning architecture for orienting a robot in a visual servoing task, 27th German Conference on Artificial Intelligence NeuroBotics Workshop, p.54, 2004.

G. Hermann, P. Wira-et-j.-p, and . Urban, Modular Learning Schemes for Visual Robot Control
DOI : 10.1007/11521082_20

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.99.42

G. Hermann, P. Wira-et-j.-p, and . Urban, Bi-directional Modularity to Learn Visual Servoing Tasks, The 2006 IEEE International Joint Conference on Neural Network Proceedings, pp.993-1000, 2006.
DOI : 10.1109/IJCNN.2006.1716205

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.487.5089

R. S. Herrera, P. Salmerón-et-h, and . Kim, Instantaneous Reactive Power Theory Applied to Active Power Filter Compensation: Different Approaches, Assessment, and Experimental Results, IEEE Transactions on Industrial Electronics, vol.55, issue.1, pp.184-196, 2008.
DOI : 10.1109/TIE.2007.905959

J. Hertz, A. G. Krogh-et-r, and . Palmer, Introduction to the Theory of, Neural Computation, vol.1

A. V. Herz, R. Meier, M. P. Nawrot, W. Schiegel-et-t, and . Zito, G-Node: An integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics, Neural Networks, vol.21, issue.8, pp.1070-1075, 2008.
DOI : 10.1016/j.neunet.2008.05.011

M. S. Hänggi-et-g and . Moschytz, Cellular Neural Networks : Analysis, Design and Optimization, p.39, 2000.

J. Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proceedings of the National Academy of Sciences 79, pp.2554-2558, 1982.

K. Hornik, Approximation capabilities of multilayer feedforward networks, Neural Networks, vol.4, issue.2, pp.251-257, 1991.
DOI : 10.1016/0893-6080(91)90009-T

K. Hornik, M. Stinchcombe-et-h, and . White, Multilayer feedforward networks are universal approximators, Neural Networks, vol.2, issue.5, pp.359-366, 1989.
DOI : 10.1016/0893-6080(89)90020-8

S. Bibliographie, . Hosseini-et-c, and . Jutten, Maximum likelihood neural approximation in presence of additive colored noise, IEEE Transactions on Neural Networks, vol.13, issue.1, pp.117-131, 2002.

J. Hunt, D. Sbarbaro, R. J. Zbikowski-et-p, and . Gawthrop, Neural networks for control systems???A survey, Automatica, vol.28, issue.6, pp.1083-1112, 1992.
DOI : 10.1016/0005-1098(92)90053-I

S. Hutchinson, G. Hager-et-p, and . Corke, A tutorial on visual servo control, IEEE Transactions on Robotics and Automation, vol.12, issue.5, pp.651-670, 1996.
DOI : 10.1109/70.538972

R. Jacobs, M. G. Jordan-et-a, and . Barto, Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks, Cognitive Science, vol.I, issue.2, pp.219-250, 1991.
DOI : 10.1207/s15516709cog1502_2

R. A. Jacobs-et-m and . Jordan, Learning piecewise control strategies in a modular neural network architecture, IEEE Transactions on Systems, Man, and Cybernetics, vol.23, issue.2, pp.337-345, 1993.
DOI : 10.1109/21.229447

R. A. Jacobs, M. I. Jordan, S. J. Nowlan-et-g, and . Hinton, Adaptive Mixtures of Local Experts, Neural Computation, vol.4, issue.1, pp.79-87, 1991.
DOI : 10.1162/neco.1989.1.2.281

J. R. Bibliographie and . Jang, Anfis : Adaptive-network-based fuzzy inference system, IEEE Transactions on Systems, Man and Cybernetics, vol.23, issue.5, pp.665-685, 1993.

J. Jodouin, Les Réseaux de Neurones : Principes et Définitions, p.12, 1994.

M. Joorabian, S. Mortazavi-et-a, and . Khayyami, Harmonic estimation in a power system using a novel hybrid Least Squares-Adaline algorithm, Electric Power Systems Research, vol.79, issue.1, pp.107-116, 2009.
DOI : 10.1016/j.epsr.2008.05.021

C. Jutten, Learning in evolutive neural architectures: An ill-posed problem?, Lecture Notes in Computer Science, vol.930, pp.361-373, 1995.
DOI : 10.1007/3-540-59497-3_197

C. Jutten-et-j and . Herault, Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture, Signal Processing, vol.24, issue.1, pp.1-10, 1991.
DOI : 10.1016/0165-1684(91)90079-X

R. Kara, P. Wira-et-h, and . Kihl, Hierarchical neural controller and adaptive kalman filter for visual robot tracking tasks, International ICSC Congress on Intelligent Systems and Applications (ISA'2000), p.52, 2000.

R. Bibliographie and . Kara, Une approche modulaire du réseau de neurones CMAC pour la commande d'un système robot-vision

R. Kara, P. Wira-et-h, and . Kihl, Robot vision tracking with a hierarchical CMAC controller, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516), pp.271-274, 2000.
DOI : 10.1109/KES.2000.885809

S. Khomfoi-et-l and . Tolbert, Fault Diagnosis and Reconfiguration for Multilevel Inverter Drive Using AI-Based Techniques, IEEE Transactions on Industrial Electronics, vol.54, issue.6, pp.2954-2968, 2007.
DOI : 10.1109/TIE.2007.906994

S. Khomfoi-et-l and . Tolbert, Fault Diagnostic System for a Multilevel Inverter Using a Neural Network, IEEE Transactions on Power Electronics, vol.22, issue.3, pp.1062-1069, 2007.
DOI : 10.1109/TPEL.2007.897128

S. Khomfoi-et-l and . Tolbert, Multilevel power converters -devices, circuits, and applications

Z. Kohavi, Switching and Finite Automata Theory
DOI : 10.1017/CBO9780511816239

T. Kohonen, Analysis of a simple self-organizing process, Biological Cybernetics, vol.43, issue.2, pp.135-140, 1982.
DOI : 10.1007/BF00317973

T. Kohonen, Self-Organization and Associative Memory, Information Sciences, vol.8, issue.13, p.14, 1984.
DOI : 10.1007/978-3-642-88163-3

D. Bibliographie and . Kragic, Visual Servoing for Manipulation : Robustness and Integration Issues

. Phd, Royal Institute of Technology, Computational Vision and Active Perception (CVAP), p.48, 2001.

Y. Lecun, Modèle connexioniste de l'apprentissage

H. C. Lin, Intelligent Neural Network-Based Fast Power System Harmonic Detection, IEEE Transactions on Industrial Electronics, vol.54, issue.1, pp.43-52, 2007.
DOI : 10.1109/TIE.2006.888685

E. Littmann-et-h and . Ritter, Learning and Generalization in Cascade Network Architectures, Neural Computation, vol.4, issue.7, pp.1521-1539, 1996.
DOI : 10.1038/323533a0

M. T. Malengret-et-c and . Gaunt, Decomposition of Currents in Three- and Four-Wire Systems, IEEE Transactions on Instrumentation and Measurement, vol.57, issue.5, pp.963-972, 2008.
DOI : 10.1109/TIM.2007.911705

L. Malesani, P. Mattavelli-et-p, and . Tomasin, High-performance hysteresis modulation technique for active filters, IEEE Transactions on Industrial Electronics, vol.12, issue.5, pp.876-884, 1997.

I. Mansour, D. Ould-abdeslam, P. Wira-et-j, and . Mercklé, Fuzzy logic control of a SVC to improve the transient stability of ac power systems, 2009 35th Annual Conference of IEEE Industrial Electronics, p.83, 2009.
DOI : 10.1109/IECON.2009.5415212

A. Visuel, Habilitation à diriger des recherches, p.48, 1999.

A. Massoum, M. Fellah, A. Meroufel-et-p, and . Wira, Différentes techniques de découplage d'une machine synchrone à aimants permanents alimentée par un onduleur trois niveaux

A. Massoum, M. Fellah, A. Meroufel, P. Wira, B. Belabbes-et-s et al., Différentes techniques de découplage d'une machine synchrone à aimant permanent alimentée par un onduleur à trois niveaux, International Conference on Electrotechnics (ICEL'2005), p.82, 2005.

A. Massoum, M. Fellah, A. Meroufel, P. Wira-et-a, and . Bendaoud, Fuzzy control of the permanent magnet synchronous machine singularly perturbed fed by a three levels inverter, International Conference on Electrical Engineering and its Applications (ICEEA'2008), p.82, 2008.

A. Massoum, Contribution à la Commande Singulièrement Perturbée d'une Machine Synchrone à Aimants Permanents : Commande à Structure Variable (CSV)

A. Massoum, M. Fellah, P. Wira-et-a, and . Bendaoud, Neuro-fuzzy control of a singularly perturbed permanent magnet synchronous machine fed by a three levels inverter, 2008 IEEE International Symposium on Industrial Electronics, pp.1867-1872, 2008.
DOI : 10.1109/ISIE.2008.4677200

A. Massoum, M. K. Fellah, A. Meroufel, A. Bendaoud, A. Bentaallah-et-p et al., Using the extended kalman filter to estimate the asynchronous machine parameters supplied with space vector modulation (svm)

A. Massoum, M. K. Fellah, A. Meroufel, P. Wira-et-b, and . Bellabes, Sliding mode control for a permanent magnet synchronous machine fed by three levels inverter using a singular perturbation decoupling, Journal of Electrical and Electronics Engineering, vol.5, issue.2, pp.1427-1433, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00914989

W. Mcculloch-et-w and . Pitts, A logical calculus of the ideas immanent in nervous activity, The Bulletin of Mathematical Biophysics, vol.5, issue.4, pp.115-133, 1943.
DOI : 10.1007/BF02478259

A. Meroufel, A. Massoum-et-p, and . Wira, A fuzzy sliding mode controller for a vector controlled induction motor, 2008 IEEE International Symposium on Industrial Electronics, pp.1873-1878, 2008.
DOI : 10.1109/ISIE.2008.4677303

R. C. Miall, Modular motor learning, Trends in Cognitive Sciences, vol.6, issue.1, pp.1-3, 2002.
DOI : 10.1016/S1364-6613(00)01822-2

I. Miller and W. Thomas, Real-time application of neural networks for sensor-based control of robots with vision, IEEE Transactions on Systems, Man, and Cybernetics, vol.19, issue.4, pp.825-831, 1989.
DOI : 10.1109/21.35345

H. Miyamoto-et-m and . Kawato, A tennis serve and upswing learning robot based on bi-directional theory, Neural Networks, vol.11, issue.7-8, pp.1331-1344, 1998.
DOI : 10.1016/S0893-6080(98)00062-8

H. Miyamoto, M. Kawato, T. Setoyama-et-r, and . Suzuki, Feedback-error-learning neural network for trajectory control of a robotic manipulator, Neural Networks, vol.1, issue.3, pp.251-265, 1988.
DOI : 10.1016/0893-6080(88)90030-5

E. Monmasson-et-m and . Cirstea, FPGA Design Methodology for Industrial Control Systems—A Review, IEEE Transactions on Industrial Electronics, vol.54, issue.4, pp.1824-1842, 2007.
DOI : 10.1109/TIE.2007.898281

D. Monnin, Réseaux neuronaux cellulaires et traitement d'images, une approche analytique de la conception d'opérateurs

L. A. Morán-et-j and . Dixon, Active filters

J. Nadal, Réseaux de neurones : de la physique à la psychologie

K. Bibliographie, . Narendra-et-k, and . Parthasarathy, Identification and control of dynamical systems using neural networks, IEEE Transactions on Neural Networks, vol.1, issue.1, pp.4-27, 1990.

K. S. Narendra, Y. Lin-et-l, and . Valvani, Stable adaptive controller design. part ii : Proof of stability, IEEE Transactions on Automatic Control, pp.440-448, 1980.

K. S. Narendra-et-l and . Valvani, Stable adaptive controller design -direct control, IEEE Transactions on Automatic Control, pp.570-583, 1978.

A. F. Nejad-et-t and . Gedeon, Bidirectional Neural Networks reduce generalisation error, In From Natural to Artificial Neural Computation Lecture Notes in Computer Science, vol.930, pp.543-550, 1995.
DOI : 10.1007/3-540-59497-3_221

J. Ngia and L. S. Sjoberg, Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm, IEEE Transactions on Signal Processing, vol.48, issue.7, pp.1915-1927, 2000.
DOI : 10.1109/78.847778

N. K. Nguyen, D. Flieller, P. Wira-et-d, . Ould, and . Abdeslam, Neural networks for phase and symmetrical components estimation in power systems, 2009 35th Annual Conference of IEEE Industrial Electronics, p.74, 2009.
DOI : 10.1109/IECON.2009.5415210

N. K. Bibliographie, D. Nguyen, P. Ould-abdeslam, D. Wira, . Flieller-et-j et al., Artificial neural networks for harmonic currents identification in active power filtering schemes, 34th Annual Conference of the IEEE Industrial Electronics Society, p.67, 2008.

N. K. Nguyen, P. Wira, D. Flieller, D. Ould-abdeslam, and E. J. Mercklé, Neural networks schemes for the instantaneous identification of a voltage source inverter, IV International Forum on Strategic Technologies, p.84, 2009.

N. K. Nguyen, P. Wira, D. Flieller, D. Ould-abdeslam, and E. J. Mercklé, Current harmonic identification methods with artificial neural networks applied to power distribution systems, Engineering Applications of Artificial Intelligence, vol.65, p.66, 2009.

N. K. Nguyen, P. Wira, D. Ould-abdeslam, and E. D. Flieller, Adaptive neural schemes for the control of a shunt active power filter, 2009 35th Annual Conference of IEEE Industrial Electronics, p.66, 2009.
DOI : 10.1109/IECON.2009.5415216

T. Nitta, An analysis of the fundamental structure of complex-valued neurons, Neural Processing Letters, vol.12, issue.3, pp.239-246, 2000.
DOI : 10.1023/A:1026582217675

M. Nørgaard, O. Ravn, N. Poulsen-et-l, and . Hansen, Neural Networks for Modelling and Control of Dynamic Systems Advanced Textbooks in Control and Signal Processing, p.19, 2000.

T. Orlowska-kowalska and E. K. Szabat, Control of the Drive System With Stiff and Elastic Couplings Using Adaptive Neuro-Fuzzy Approach, IEEE Transactions on Industrial Electronics, vol.54, issue.1, pp.228-240, 2007.
DOI : 10.1109/TIE.2006.888787

D. Ould and . Abdeslam, Techniques neuromimétiques pour la commande dans les systèmes électriques : application au filtrage actif parallèle dans les réseaux électriques basse tension

D. Ould-abdeslam, J. Mercklé, R. Ngwanyi-et-y.-a, and . Chapuis, Artificial neural networks for harmonic estimation in low-voltage power systems, 4th International ICSC Symposium on Engineering of Intelligent Systems, p.86, 2004.

D. Ould-abdeslam, J. Mercklé, P. Wira-et-d, and . Flieller, Harmonic identification based on ann. a comparative study, 9th International Conference on Engineering Applications of Neural Networks (EANN'2005), p.65, 2005.

D. Ould-abdeslam, P. Wira, D. Flieller-et-j, and . Mercklé, New methods for time-varying frequency estimation from distorted harmonic signals in power systems, IAR Workshop (IAR'2005), pp.223-228, 2005.

D. Ould-abdeslam, P. Wira, D. Flieller-et-j, and . Mercklé, A New Adaline Approach for Online Voltage Components Extraction from Unbalanced and Perturbed Power Systems, IECON 2006, 32nd Annual Conference on IEEE Industrial Electronics, pp.4398-4403, 2006.
DOI : 10.1109/IECON.2006.347341

D. Ould-abdeslam, P. Wira, D. Flieller-et-j, and . Mercklé, Power harmonic identification and compensation with an artificial neural network me- thod, International Symposium on Industrial Electronics (ISIE'2006), pp.1732-1737, 2006.

D. Ould-abdeslam, P. Wira, D. Flieller-et-j, and . Mercklé, Artificial neural networks to control an inverter in a harmonic distortion compensation scheme, 2008 IEEE International Symposium on Industrial Electronics, pp.1879-1884, 2008.
DOI : 10.1109/ISIE.2008.4677022

D. Ould-abdeslam, P. Wira, J. Mercklé-et-y.-a, and . Chapuis, A neural approach for the control of an active power filter, 5th International Power Electronics Conference (IPEC'2005), pp.923-929, 2005.

D. Ould-abdeslam, P. Wira, J. Mercklé, Y. Chapuis-et-d, and . Flieller, Stratégie neuromimétique d'identification et de commande d'un filtre actif parallèle, Revue des Systèmes, Série Revue Internationale de Génie Electrique (RS-RIGE), pp.35-64, 2006.

D. Ould-abdeslam, P. Wira, J. Mercklé-et-d, and . Flieller, A neural learning approach for time-varying frequency estimation of distorted harmonic signals in power systems, 1st International ICSC Symposium on Industrial Application of Soft Computing (IASC'2005), pp.1-6, 2005.

D. Ould-abdeslam, P. Wira, J. Mercklé-et-d, and . Flieller, Distortions identification with artificial neural networks based on symmetrical compo- nents

D. Ould-abdeslam, P. Wira, J. Mercklé, D. Flieller-et-y.-a, and . Chapuis, A Unified Artificial Neural Network Architecture for Active Power Filters, IEEE Transactions on Industrial Electronics, vol.54, issue.1, pp.61-76, 2007.
DOI : 10.1109/TIE.2006.888758

F. Peng, H. Akagi-et-a, and . Nabae, A new approach to harmonic compensation in power systems-a combined system of shunt passive and series active filters, IEEE Transactions on Industry Applications, vol.26, issue.6, pp.983-990, 1990.
DOI : 10.1109/28.62380

L. Personnaz-et-i and . Rivals, Réseaux de neurones formels pour la modélisation, la commande et la classification, Sciences et Techniques de l'Ingénieur. CNRS Éditions, p.12, 2003.

J. J. Phinney-et-d and . Perreault, Filters with active tuning for power applications, IEEE Transactions on Power Electronics, vol.18, issue.2, pp.636-647, 2003.
DOI : 10.1109/TPEL.2003.809329

P. Picton, Deriving weights for single threshold logic gates using decomposition, 8th International Conference on Neural Information Processing, p.39, 2001.

R. F. Pinheiro, C. B. Jacobina, A. M. Lima-et-e, . Da, and . Silva, A revision of the state of the art in active filters, 5th Brazilian Power Electronics Conference, p.59, 1999.

E. Pissaloux, F. S. Amiot-et-t, and . Dillon, A vision-application adaptable computer concept and its implementation in freetiv com- puter, Parallel Computing, vol.28, pp.7-8, 2002.

M. Powell, Radial basis functions for multivariable interpolation : A review

G. V. Puskorius-et-l and . Feldkamp, Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks, IEEE Transactions on Neural Networks, vol.5, issue.2, pp.279-297, 1994.
DOI : 10.1109/72.279191

M. Qi-et-g and . Zhang, Trend time-series modeling and forecasting with neural networks, IEEE Transactions on Neural Networks, vol.19, issue.5, pp.808-816, 2008.

A. H. Rahim-et-m and . Kandlawala, Robust STATCOM voltage controller design using loop-shaping technique, Electric Power Systems Research, vol.68, issue.1, pp.61-74, 2004.
DOI : 10.1016/S0378-7796(03)00153-6

J. Ritter, T. M. Martinetz-et-k, and . Schulten, Neural Computation and Self-Organizing Maps. Computation and Neural Systems, p.50, 1992.

H. J. Ritter-et-k and . Schulten, Topology conserving mappings for learning motor tasks, AIP Conference Proceedings
DOI : 10.1063/1.36242

I. Rivals-et-l and . Personnaz, BLACK-BOX MODELING WITH STATE-SPACE NEURAL NETWORKS, Neural Adaptive Control Technology, 1995.
DOI : 10.1142/9789812830388_0008

I. Bibliographie, . Rivals-et-l, and . Personnaz, A recursive algorithm based on the extended kalman filter for the training of feedforward neural models, Neurocomputing, vol.20, pp.173-188, 1998.

E. Ronco-et-p and . Gawthrop, Modular neural networks : A state of the art, p.45, 1995.

F. Rosenblatt, The perceptron: A probabilistic model for information storage and organization in the brain., Psychological Review, vol.65, issue.6, pp.386-408, 1958.
DOI : 10.1037/h0042519

F. Rosenblatt, Principles of Neurodynamics. Spartan, p.9, 1962.

D. E. Rumelhart and . Mcclelland, Parallel Distributed Processing Explorations in the Microstructure of cognition, Foundations, vol.1, issue.11, 1986.

S. Saad-et-l and . Zellouma, Fuzzy logic controller for three-level shunt active filter compensating harmonics and reactive power, Electric Power Systems Research, vol.79, issue.10, pp.1337-1341, 2009.
DOI : 10.1016/j.epsr.2009.04.003

A. C. Sanderson-et-l and . Weiss, Image based visual servo control using relational graph error signals, International Conference on Cybernetics Graph Error Signal, pp.1074-1077, 1980.

D. Sauter, H. Jamouli, and J. Ponsart, Actuator fault compensation for a winding machine, Control Engineering Practice, vol.13, issue.10, pp.1307-1314, 2005.
DOI : 10.1016/j.conengprac.2004.11.016

H. Schwab, Stratégies de commande d'actionneurs synchrones à aimants permanents intégrant la sûreté de fonctionnement

R. Sharma-et-n and . Srinivasa, A framework for active vision-based robot control using neural networks, Robotica, vol.16, issue.3, pp.309-327, 1998.
DOI : 10.1017/S0263574798000381

S. Sharma, G. Irwina, M. Tokhi-et-s, and . Mcloone, Learning soft computing control strategies in a modular neural network architecture, Engineering Applications of Artificial Intelligence, vol.16, issue.5-6, pp.5-6, 2003.
DOI : 10.1016/S0952-1976(03)00070-8

S. M. Shinners, Modern Control System Theory and Design

B. Singh, K. Al-haddad, and E. A. Chandra, Harmonic elimination, reactive power compensation and load balancing in three-phase, four-wire electric distribution systems supplying non-linear loads, Electric Power Systems Research, vol.44, issue.2, pp.93-100, 1998.
DOI : 10.1016/S0378-7796(97)01187-5

B. Singh, B. Singh, A. Chandra, K. Al-haddad, A. Pandey-et-d et al., A review of single-phase improved power quality ac~dc converters, IEEE Transactions on Industrial Electronics, vol.50, issue.5, pp.962-981, 2003.
DOI : 10.1109/TIE.2003.817609

B. Singh, B. Singh, A. Chandra, K. Al-haddad, A. Pandey-et-d et al., A Review of Three-Phase Improved Power Quality AC???DC Converters, IEEE Transactions on Industrial Electronics, vol.51, issue.3, pp.641-660, 2004.
DOI : 10.1109/TIE.2004.825341

B. Singh, K. Al-haddad, and E. A. Chandra, A review of active filters for power quality improvement, IEEE Transactions on Industrial Electronics, vol.46, issue.5, pp.960-971, 1999.
DOI : 10.1109/41.793345

O. Steward, Principles of Cellular, Molecular, and Developmental Neuroscience, p.97, 1989.
DOI : 10.1007/978-1-4612-3540-8

H. T. Su-et-k and . Chong, Induction machine condition monitoring using neural network modeling, IEEE Transactions on Industrial Electronics, vol.54, issue.1, pp.241-249, 2007.

R. Taleb, Commande des onduleurs multi niveaux asymétriques pour l'entraînement des machines asynchrones de grande puissance

. Thèse-en-Électrotechnique, Université Djillali Liabes, en cours, sout. prévue en 2010, pp.36-107

R. Taleb, A. Meroufel-et-p, and . Wira, Control of a uniform step asymmetrical multilevel inverter using resultant theory. Control and Intelligent Systems, 2009.

R. Taleb, A. Meroufel-et-p, and . Wira, Harmonic Elimination Control of an Inverter Based on an Artificial Neural Network Strategy, 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009.
DOI : 10.3182/20090921-3-TR-3005.00007

R. Taleb, P. Wira-et-a, and . Meroufel, An artificial neural network approach for solving the harmonic distortions elimination in multilevel converters, International Review on Modelling and Simulations, vol.2, issue.3, pp.227-235, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00867045

F. Temurtas, R. Gunturkun, N. Yumusaka-et-h, and . Temurtas, Harmonic detection using feed forward and recurrent neural networks for active filters, Electric Power Systems Research, vol.72, issue.1, pp.33-40, 2004.
DOI : 10.1016/j.epsr.2004.02.005

K. Tokunaga-et-t and . Furukawa, Modular network SOM, Neural Networks, vol.22, issue.1, pp.82-90, 2009.
DOI : 10.1016/j.neunet.2008.10.006

J. Urban, J. Buessler-et-p, and . Wira, NeuroModule-based visual servoing of a robot arm with a 2 d.o.f. camera, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, pp.3507-3512, 1997.
DOI : 10.1109/ICSMC.1997.633195

V. Vapnik, The Nature of Statistical Learning, p.88, 1995.

P. Vas, Artificial-intelligence-Based Electrical Machines and Drives : Application of Fuzzy, Neural , Fuzzy-Neural and Genetic-Algorithm-Based Techniques. Monographs in Electrical and Electronic Engineering, p.95, 1999.

P. Verdelho-et-g and . Marques, An active power filter and unbalanced current compensator, IEEE Transactions on Industrial Electronics, vol.44, issue.3, pp.321-328, 1997.
DOI : 10.1109/41.585829

J. R. Vázquez, P. Salmerón-et-f, and . Alcantara, Neural networks application to control an active power filter, 9th European Conference on Power Electronics and Applications, p.60, 2001.

Y. Wada-et-m and . Kawato, A neural network model for arm trajectory formation using forward and inverse dynamics models, Neural Networks, vol.6, issue.7, pp.919-932, 1993.
DOI : 10.1016/S0893-6080(09)80003-8

Y. Wang, J. Gu-et-c, and . Chen, An improved adaline algorithm for online tracking of harmonic components, International Journal of Power and Energy Systems, vol.23, issue.2, pp.117-127, 2003.

Z. Wang, M. T. Manry-et-j, and . Schiano, LMS learning algorithms: misconceptions and new results on converence, IEEE Transactions on Neural Networks, vol.11, issue.1, pp.47-56, 2000.
DOI : 10.1109/72.822509

D. Wedge, D. Ingram, D. Mclean, C. Mingham-et-z, and . Bandar, On Global???Local Artificial Neural Networks for Function Approximation, IEEE Transactions on Neural Networks, vol.17, issue.4, pp.942-952, 2006.
DOI : 10.1109/TNN.2006.875972

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.492.1375

J. R. Wells, X. Geng, P. L. Chapman, P. T. Krein-et-b, and . Nee, Modulation-Based Harmonic Elimination, IEEE Transactions on Power Electronics, vol.22, issue.1, pp.336-340, 2007.
DOI : 10.1109/TPEL.2006.888910

J. Wells, B. Nee, P. Champan-et-p, and . Krein, Selective Harmonic Control: A General Problem Formulation and Selected Solutions, IEEE Transactions on Power Electronics, vol.20, issue.6, pp.1337-1345, 2005.
DOI : 10.1109/TPEL.2005.857541

P. Werbos, Beyond Regression : New tools for prediction and analysisin the behavioral sciences, p.14, 1974.

B. Widrow-et-m and . Hoff, Adaptive switching circuits, IRE WESCON Convention Recor, pp.96-104, 1960.

B. Bibliographie, . Widrow-et-m, and . Kamenetsky, Statistical efficiency of adaptive algorithms Neural Networks, Special Issue onAdvances, in Neural Networks Research : IJCNN'03, pp.5-6, 2003.

B. A. Widrow-et-m and . Lehr, 30 years of adaptative neural networks : Perceptron, madaline and backpropagation, Proceedings of the IEEE, pp.1415-1442, 1990.

B. Widrow-et-e and . Walach, Adaptive Inverse Control Information and System Sciences Series, 1996.

N. Wiener, Interpolation, Extrapolation and Smoothing of Stationnary Time Series, p.89, 1948.

P. Wira, Contrôle neuronal d'un bras robotique avec une caméra à deux degrés de liberté, pp.30-51

P. Wira, Estimation des mouvements d'une cible pour des tâches de poursuite par asservissement visuel robotique, Quinzièmes Journées des Jeunes Chercheurs en Robotique (JJCR'15), p.89, 2002.

P. Wira, Réseaux neuromimétiques, modularité et statistiques : estimation du mouvement pour l'asservissement visuel de robots

P. Wira, Des réseaux de neurones artificiels pour l'identification et le contrôle de systèmes élec- triques, International Conference on Electrical Engineering and its Applications (ICEEA'2008), p.79, 2008.

P. Bibliographie, D. Wira, E. J. Ould-abdeslam, and . Mercklé, A comparative study of learning and adaptive algorithms for harmonics compensation, 22nd IAR Workshop (IAR'2007), p.79, 2007.

P. Wira, D. Ould-abdeslam, and E. J. Mercklé, Learning and adaptive algorithms for compensating for harmonics : A comparative study, International Conference on Electrical Engineering and its Applications (ICEEA'2008), p.79, 2008.

P. Wira, D. Ould-abdeslam, and E. J. Mercklé, Learning and adaptive techniques for harmonics compensation in power supply networks, MELECON 2008, The 14th IEEE Mediterranean Electrotechnical Conference, pp.719-725, 2008.
DOI : 10.1109/MELCON.2008.4618520

P. Wira-et-j.-p and . Urban, A new adaptive kalman filter applied to visual servoing tasks, Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, pp.267-270, 2000.

P. Wira-et-j.-p and . Urban, Prédiction de trajectoire par filtrage de kalman adaptatif à état discret multiple, Journées Doctorales d'Automatique (JDA'2001), pp.93-98, 2001.

P. Wira-et-j.-p and . Urban, PREDICTING UNKNOWN MOTION FOR MODEL INDEPENDENT VISUAL SERVOING, International Journal of Computational Intelligence and Applications, vol.01, issue.03, pp.287-302, 2001.
DOI : 10.1142/S1469026801000135

P. Wira-et-j.-p and . Urban, Trajectory prediction to improve visual servoing tasks, IAR/ICD Workshop on Intelligent Control and Diagnosis (IAR'2002), p.89, 2002.

P. Wira-et-j.-p and . Urban, Visual motion estimation to improve robotic object tracking, International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA'2003), pp.878-885, 2003.

P. Wira, J. Urban-et-j, and . Gresser, A divide-and-conquer learning architecture for predicting unknown motion, 9th European Symposium on Artificial Neural Networks (ESANN'2001), pp.391-396, 2001.

D. Wolpert-et-m and . Kawato, Multiple paired forward and inverse models for motor control, Neural Networks, vol.11, issue.7-8
DOI : 10.1016/S0893-6080(98)00066-5

S. Xavier and . Souza, Optimisation and Robustness of Cellular Neural Networks, p.39, 2007.

D. Xu, J. Principe-et-h.-c, and . Wu, Generalized eigendecomposition with an on-line local algorithm, IEEE Signal Processing Letters, vol.5, issue.11, pp.298-301, 1998.

R. , Y. Et-l, and . Zadeth, Fuzzy Sets, Neural Networks and soft Computing, p.81, 1994.

L. A. Zadeh, Fuzzy sets, Information and Control, vol.8, issue.3, pp.338-353, 1965.
DOI : 10.1016/S0019-9958(65)90241-X

J. Zamarreno-et-p and . Vega, State space neural network. Properties and application, Neural Networks, vol.11, issue.6, pp.1099-1112, 1998.
DOI : 10.1016/S0893-6080(98)00074-4

J. Zamarreno, P. Vega, L. Garca-et-m, and . Francisco, State-space neural network for modelling, prediction and control, Control Engineering Practice, vol.8, issue.9, pp.1063-1075, 2000.
DOI : 10.1016/S0967-0661(00)00045-9

P. Zanne, Contributions à l'asservissement visuel

W. Zuo, Y. Zhu-et-l, and . Cai, Fourier-Neural-Network-Based Learning Control for a Class of Nonlinear Systems With Flexible Components, IEEE Transactions on Neural Networks, vol.20, issue.1, pp.139-151, 2009.
DOI : 10.1109/TNN.2008.2006496