H. Görgun, M. Arcuk, and F. Barbir, An algorithm for estimation of membrane water content in PEM fuel cells, Journal of Power Sources, vol.157, issue.1, pp.389-394, 2006.
DOI : 10.1016/j.jpowsour.2005.07.053

Y. H. Zhao, Dynamic modelling and parametric control for the polymer electrolyte membrane fuel cell system, Journal of Power Sources, vol.232, pp.270-278, 2013.
DOI : 10.1016/j.jpowsour.2012.12.116

C. Panos, K. I. Kouramas, M. C. Georgiadis, N. Brandon, and E. N. Pistikopoulos, Modelling and explicit model predictive control for PEM fuel cell systems, 20th European Symposium on Computer Aided Process Engineering, pp.15-25, 2012.
DOI : 10.1016/j.ces.2011.06.068

J. T. Pukrushpan, Modeling and Control of Fuel Cell Systems and Fuel Processors, 2003.

W. Lee, G. Park, T. Yang, Y. Yoon, and C. Kim, Empirical modeling of polymer electrolyte membrane fuel cell performance using artificial neural networks, International Journal of Hydrogen Energy, vol.29, issue.9, pp.961-966, 2004.
DOI : 10.1016/j.ijhydene.2003.01.002

A. Saengrung, A. Abtahi, and A. Zilouchian, Neural network model for a commercial PEM fuel cell system, Journal of Power Sources, vol.172, issue.2, pp.749-759, 2007.
DOI : 10.1016/j.jpowsour.2007.05.039

V. Rouss and W. Charon, Multi-input and multi-output neural model of the mechanical nonlinear behaviour of a PEM fuel cell system, Journal of Power Sources, vol.175, issue.1, pp.1-17, 2008.
DOI : 10.1016/j.jpowsour.2007.09.008

D. Cheddie and N. Munroe, Review and comparison of approaches to proton exchange membrane fuel cell modeling, Journal of Power Sources, vol.147, issue.1-2, pp.72-84, 2005.
DOI : 10.1016/j.jpowsour.2005.01.003

A. Saadi, M. Becherif, A. Aboubou, and M. Y. Ayad, Comparison of proton exchange membrane fuel cell static models, Renewable Energy, vol.56, pp.64-71, 2013.
DOI : 10.1016/j.renene.2012.10.012

D. A. Mckay, W. T. Ott, and A. G. Stefanopoulou, Modeling, Parameter Identification and Validation of Reactant and Water Dynamics for a Fuel Cell Stack. International Mechanical Engineering Congress and Exposition, pp.1177-1186, 2005.

J. C. Amphlett, R. M. Baumert, R. F. Mann, B. A. Peppley, and P. R. Roberge, Performance Modeling of the Ballard Mark IV Solid Polymer Electrolyte Fuel Cell, Journal of The Electrochemical Society, vol.142, issue.1, pp.1-8, 1995.
DOI : 10.1149/1.2043866

URL : http://jes.ecsdl.org/content/142/1/1.full.pdf

T. E. Springer, T. A. Zawodzinski, and S. Gottesfeld, Polymer Electrolyte Fuel Cell Model, Journal of The Electrochemical Society, vol.138, issue.8, pp.2334-2342, 1991.
DOI : 10.1149/1.2085971

URL : http://jes.ecsdl.org/content/138/8/2334.full.pdf

W. Gong and Z. Cai, Accelerating Parameter Identification of Proton Exchange Membrane Fuel Cell Model with Ranking-Based Differential Evolution. Energy, pp.356-364, 2013.
DOI : 10.1016/j.energy.2013.07.005

M. Mougenot, Elaboration et optimisation d'électrodes de piles PEMFC à très faible taux de platine par pulvérisation plasma, 2011.

M. Nørgaard, O. Ravn, N. K. Poulsen, and L. K. Hansen, Neural Networks for Modelling and Control of Dynamics Systems, pp.978-979, 2000.
DOI : 10.1007/978-1-4471-0453-7

H. Stoppiglia, G. Dreyfus, R. Dubois, and Y. Oussar, Ranking a Random Feature for Variable and Feature Selection, The Journal of Machine Learning Research, vol.3, pp.1399-1414, 2003.