T. M. Blackwell and P. J. Bentley, Dynamic search with charged swarms, pp.19-26, 2002.

L. Blum, F. Cucker, M. Shub, and S. Smale, Complexity and real computation, 1998.
DOI : 10.1007/978-1-4612-0701-6

J. L. Boiffier, The dynamics of flight : the equations, 1998.

A. Bucharles, An overview of relevant issues for aircraft model identification, AerospaceLab, Issue, vol.4, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01183676

O. S. Celis, A. Cuyt, and B. Verdonk, Rational approximation of vertical segments, Numerical Algorithms, vol.27, issue.2, pp.375-388, 2007.
DOI : 10.1007/s11075-007-9077-3

S. Chen, X. Hong, C. J. Harris, and P. M. Sharkey, Sparse Modeling Using Orthogonal Forward Regression With PRESS Statistic and Regularization, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.34, issue.2, pp.898-911, 2004.
DOI : 10.1109/TSMCB.2003.817107

S. Chen, X. Hong, B. L. Luk, and H. C. , Non-linear system identification using particle swarm optimisation tuned radial basis function models, International Journal of Bio-Inspired Computation, vol.1, issue.4, pp.246-258, 2009.
DOI : 10.1504/IJBIC.2009.024723

M. Clerc, Particle swarm optimization, ISTE, 2006.
DOI : 10.1002/9780470612163
URL : https://hal.archives-ouvertes.fr/hal-01155162

M. Clerc, Initialisations for particle swarm optimization, 2008.

C. Döll, C. Bérard, A. Knauf, and J. M. Biannic, LFT modelling of the 2-DOF longitudinal nonlinear aircraft behaviour, 2008 IEEE International Conference on Computer-Aided Control Systems, pp.864-869, 2008.
DOI : 10.1109/CACSD.2008.4627373

C. Ferreira, Gene expression programming: a new adaptive algorithm for solving problems, Complex Systems, vol.13, issue.2, pp.87-129, 2001.

G. Ferreres, A practical approach to robustness analysis with aeronautical applications, 1999.

M. S. Floater and K. Hormann, Barycentric rational interpolation with no poles and high rates of approximation, Numerische Mathematik, vol.28, issue.5, pp.315-331, 2007.
DOI : 10.1007/s00211-007-0093-y

G. Hardier, Recurrent RBF networks for suspension system modeling and wear diagnosis of a damper, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227), pp.2441-2446, 1998.
DOI : 10.1109/IJCNN.1998.687245

G. Hardier and C. Roos, Creating sparse rational approximations for LFR modeling using genetic programming . 3 rd IFAC Int al Conf on Intelligent Control and Automation Science, 2013.

G. Hardier and C. Roos, Creating sparse rational approximations for LFRs using surrogate modeling. 3 rd IFAC Int al Conf. on Intelligent Control and Automation Science, 2013.

S. Haykin, Neural networks: a comprehensive foundation, 1994.

J. R. Koza and R. Poli, Intoductory tutorials in optimization, search and decision support, 2003.

J. Lane, A. P. Engelbrecht, and J. Gain, Particle swarm optimization with spatially meaningful neighbours, 2008 IEEE Swarm Intelligence Symposium, pp.1-8, 2008.
DOI : 10.1109/SIS.2008.4668281

J. Madar, J. Abonyi, and F. Szeifert, Genetic Programming for the Identification of Nonlinear Input???Output Models, Industrial & Engineering Chemistry Research, vol.44, issue.9, pp.3178-3186, 2005.
DOI : 10.1021/ie049626e

J. F. Magni, User manual of the LFR Toolbox (V 2.0), 2006.

S. Markov, E. Popova, U. Schneider, and J. Schulze, On linear interpolation under interval data, Mathematics and Computers in Simulation, vol.42, issue.1, pp.35-45, 1996.
DOI : 10.1016/0378-4754(95)00110-7

R. Mendes and J. Kennedy, The Fully Informed Particle Swarm: Simpler, Maybe Better, IEEE Transactions on Evolutionary Computation, vol.8, issue.3, pp.204-210, 2004.
DOI : 10.1109/TEVC.2004.826074

E. A. Morelli and R. Deloach, Wind tunnel database development using modern experiment design and multivariate orthogonal functions, 2003.

O. Nelles and R. Isermann, Basis function networks for interpolation of local linear models, Proceedings of 35th IEEE Conference on Decision and Control, pp.470-475, 1996.
DOI : 10.1109/CDC.1996.574356

O. Olorunda and A. P. Engelbrecht, Measuring exploration/exploitation in particle swarms using swarm diversity, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), pp.1128-1134, 2008.
DOI : 10.1109/CEC.2008.4630938

P. P. Petrushev and V. A. Popov, Rational approximation of real functions. Encyclopedia of mathematics and its applications, 1987.

C. Roos and J. Biannic, Efficient computation of a guaranteed stability domain for a high-order parameter dependent plant, Proceedings of the 2010 American Control Conference, pp.3895-3900, 2010.
DOI : 10.1109/ACC.2010.5530661

C. Roos, Optimization based clearance of flight control laws In Varga-Hansson-Puyou, Generation of LFRs for a flexible aircraft model, §4, Lecture Notes in Control and Information Sciences, 2011.

C. Roos, . Systems, and . Modeling, Analysis and Control (SMAC) Toolbox: an insight into the robustness analysis library, IEEE Multiconference on Systems and Control, pp.176-181, 2013.

C. Sanathanan and J. Koerner, Transfer function synthesis as a ratio of two complex polynomials, IEEE Transactions on Automatic Control, vol.8, issue.1, pp.56-58, 1963.
DOI : 10.1109/TAC.1963.1105517

M. Sato, Parameter-Dependent Slack Variable approach for positivity check of polynomials over hyper-rectangle, 2009 American Control Conference, pp.5357-5362, 2009.
DOI : 10.1109/ACC.2009.5160310

D. P. Searson, D. E. Lealy, and W. M. , GPTIPS: an open source GP toolbox for multigene symbolic regression, Int al Multiconference of Engineers and Computer Scientists, 2010.

P. Seiler, A. Packard, and G. Balas, A Gain-Based Lower Bound Algorithm for Real and Mixed μ Problems, Proceedings of the 45th IEEE Conference on Decision and Control, pp.493-500, 2010.
DOI : 10.1109/CDC.2006.377123

C. Seren, G. Hardier, and P. Ezerzere, On-line Estimation of Longitudinal Flight Parameters, SAE AeroTech Congress and Exhibition, 2011.

N. Z. Shor, Class of global minimum bounds of polynomial functions, Cybernetics, vol.5, issue.No. 3, pp.731-734, 1987.
DOI : 10.1007/BF01070233

K. Trojanowski, Multi-swarm that learns, Intelligent Information Systems, vol.XVI, pp.121-130, 2008.

P. M. Young, M. P. Newlin, and D. J. , Computing bounds for the mixed µ problem, Int al J al of Robust and Nonlinear Control, vol.5, issue.6, pp.573-590, 1995.

K. Zhou, J. C. Doyle, and K. Glover, Robust and optimal control, 1996.