M. Fliess and H. Sira-ramírez, An algebraic framework for linear identification, ESAIM: Control, Optimisation and Calculus of Variations, vol.9, pp.151-168, 2003.
DOI : 10.1051/cocv:2003008

D. Y. Liu, O. Gibaru, W. Perruquetti, M. Fliess, and M. Mboup, An error analysis in the algebraic estimation of a noisy sinusoidal signal, 2008 16th Mediterranean Conference on Control and Automation, 2008.
DOI : 10.1109/MED.2008.4602161
URL : https://hal.archives-ouvertes.fr/inria-00300234

M. Mboup, Parameter estimation for signals described by differential equations, Applicable Analysis, vol.26, issue.1, pp.29-52, 2009.
DOI : 10.1109/MED.2008.4602161

D. Y. Liu, O. Gibaru, and W. Perruquetti, Parameters estimation of a noisy sinusoidal signal with timevarying amplitude, Proc. 19th Mediterranean conference on Control and automation (MED'11), 2011.
URL : https://hal.archives-ouvertes.fr/inria-00593408

W. Perruquetti, P. Fraisse, M. Mboup, and R. Ushirobira, An algebraic approach for Humane posture estimation in the sagital plane using accelerometer noisy signal, Proc. 51st IEEE Conference on Decision and Control, 2012.

R. Ushirobira, W. Perruquetti, M. Mboup, and M. Fliess, Algebraic parameter estimation of a multisinusoidal waveform signal from noisy data, Proc. 2013 European Control Conference, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00819048

M. Mboup and C. , Join and M. Fliess: A revised look at numerical differentiation with an application to nonlinear feedback control, Proc. 15th Mediterranean Conference on Control and Automation (MED'07), 2007.

M. Mboup, C. Join, and M. Fliess, Numerical differentiation with annihilators in noisy environment, Numerical Algorithms, vol.14, issue.12, pp.439-467, 2009.
DOI : 10.1007/s11075-008-9236-1
URL : https://hal.archives-ouvertes.fr/inria-00319240

D. Y. Liu, O. Gibaru, and W. Perruquetti, Error analysis of Jacobi derivative estimators for noisy signals, Numerical Algorithms, vol.21, issue.12, pp.53-83, 2011.
DOI : 10.1007/s11075-011-9447-8
URL : https://hal.archives-ouvertes.fr/inria-00573270

D. Y. Liu, O. Gibaru, and W. Perruquetti, Differentiation by integration with Jacobi polynomials, Journal of Computational and Applied Mathematics, vol.235, issue.9, pp.3015-3032, 2011.
DOI : 10.1016/j.cam.2010.12.023
URL : https://hal.archives-ouvertes.fr/inria-00550160

L. Kiltz and J. Rudolph, Parametrization of algebraic numerical differentiators to achieve desired filter characteristics, 52nd IEEE Conference on Decision and Control, 2013.
DOI : 10.1109/CDC.2013.6761000

M. Fliess, Analyse non standard du bruit, Comptes Rendus Mathematique, vol.342, issue.10, pp.797-802, 2006.
DOI : 10.1016/j.crma.2006.02.037
URL : https://hal.archives-ouvertes.fr/inria-00001134

M. Fliess and H. Sira-ramírez, Reconstructeurs d'??tat, Proc. 47th IEEE Conference on Decision and Control, pp.91-96, 2004.
DOI : 10.1016/j.crma.2003.11.004

Y. Tian, T. Floquet, and W. Perruquetti, Fast state estimation in linear time-invariant systems: an algebraic approach, 2008 16th Mediterranean Conference on Control and Automation, 2008.
DOI : 10.1109/MED.2008.4602108
URL : https://hal.archives-ouvertes.fr/inria-00276607

D. Y. Liu, O. Gibaru, and W. Perruquetti, Error analysis for a class of numerical differentiator: application to state observation, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009.
DOI : 10.1109/CDC.2009.5400907
URL : https://hal.archives-ouvertes.fr/inria-00437129

G. Zheng, L. Yu, D. Boutat, and J. P. Barbot, Algebraic observer for a class of switched systems with zeno phenomenon, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009.
DOI : 10.1109/CDC.2009.5400783
URL : https://hal.archives-ouvertes.fr/inria-00423493

F. J. Bejarano, W. Perruquetti, T. Floquet, and G. Zheng, State reconstruction of nonlinear differentialalgebraic systems with unknown inputs, Proc. 51st IEEE Conference on Decision and Control, Hawaii, United States, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00731718

D. Y. Liu, O. Gibaru, W. Perruquetti, and T. M. Laleg-kirati, Fractional order differentiation by integration with Jacobi polynomials, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012.
DOI : 10.1109/CDC.2012.6426436
URL : https://hal.archives-ouvertes.fr/hal-00728406

D. Y. Liu, O. Gibaru, and W. Perruquetti, Nonasymptotic fractional order differentiators via an algebraic parametric method, Proc. 1st International Conference on Systems and Computer Science, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00713338

M. Shinbrot, On the analysis of linear and nonlinear dynamic systems from transient-response data, National Advisory Committee for Aeronautics NACA, 1954.

T. B. Co and S. Ungarala, Batch scheme recursive parameter estimation of continuous-time systems using the modulating functions method, Automatica, vol.33, issue.6, pp.1185-1191, 1997.
DOI : 10.1016/S0005-1098(97)00020-4

H. Unbehauen and G. P. Rao, A review of identification in continous-time systems, Annual Reviews in Control, vol.222, pp.145-171, 1998.

G. Fedele and L. Coluccio, A recursive scheme for frequency estimation using the modulating functions method, Applied Mathematics and Computation, vol.216, issue.5, pp.1393-1400, 2010.
DOI : 10.1016/j.amc.2010.02.039

D. Y. Liu, T. M. Laleg-kirati, O. Gibaru, and W. Perruquetti, Identification of fractional order systems using modulating functions method, Proc. 2013 American Control Conference, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00801425

N. Gehring and J. Rudolph, An Algebraic Approach for Identification of Linear Systems with Fractional Derivatives, 2013.

H. A. Preising and D. W. Rippin, Theory and application of the modulating function method???I. Review and theory of the method and theory of the spline-type modulating functions, Computers & Chemical Engineering, vol.17, issue.1, pp.1-16, 1993.
DOI : 10.1016/0098-1354(93)80001-4