F. Boulier, D. Lazard, F. Ollivier, and M. Petitot, Computing representations for radicals of finitely generated differential ideals, Applicable Algebra in Engineering, Communication and Computing, vol.3, issue.1, pp.73-121, 2009.
DOI : 10.1007/s00200-009-0091-7

URL : https://hal.archives-ouvertes.fr/hal-00820902

F. Boulier, F. Lemaire, G. Regensburger, and M. Rosenkranz, On the integration of differential fractions, Proceedings of the 38th international symposium on International symposium on symbolic and algebraic computation, ISSAC '13, pp.101-108, 2013.
DOI : 10.1145/2465506.2465934

URL : https://hal.archives-ouvertes.fr/hal-00825855

M. Bronstein, Symbolic Integration I, 1997.
DOI : 10.1007/978-3-662-03386-9

L. Denis-vidal, G. Joly-blanchard, and C. Noiret, System Identifiability (Symbolic Computation) and Parameter Estimation (Numerical Computation), Numerical Algorithms, pp.282-292, 2003.
DOI : 10.1023/B:NUMA.0000005366.05704.88

M. Fliess, C. Join, and H. Sira-ramírez, Non-linear estimation is easy, International Journal of Modelling, Identification and Control, vol.4, issue.1, pp.12-27, 2008.
DOI : 10.1504/IJMIC.2008.020996

URL : https://hal.archives-ouvertes.fr/inria-00158855

M. Fliess, M. Mboup, H. Mounier, and H. Sira-ramírez, Questioning some paradigms of signal processing via concrete examples, Algebraic Methods in Flatness, Signal Processing and State Estimation, pp.1-21, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00001059

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

M. Fliess and H. Sira-ramírez, Identification of continuous-time models from sampled data. chapter Closed-loop parametric identification for continuous-time linear systems via new algebraic techniques Advances in Industrial Control, pp.362-391, 2008.

X. Gao and L. Guo, Constructions of Free Commutative Integro-Differential Algebras, Algebraic and Algorithmic Aspects of Differential and Integral Operators, pp.1-22, 2014.
DOI : 10.1007/978-3-642-54479-8_1

K. R. Godfrey, The identifiability of parameters of models used in biomedicine, Mathematical Modelling, vol.7, issue.9-12, pp.1195-1214, 1986.
DOI : 10.1016/0270-0255(86)90076-X

L. Guo, G. Regensburger, and M. Rosenkranz, On integro-differential algebras, Journal of Pure and Applied Algebra, vol.218, issue.3, pp.456-473, 2014.
DOI : 10.1016/j.jpaa.2013.06.015

E. R. Kolchin, Differential Algebra and Algebraic Groups, 1973.

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

C. Noiret, Utilisation du calcul formel pour l'identifiabilité de modèles paramétriques et nouveaux algorithmes en estimation de paramètres, 2000.

A. E. Pearson, Explicit parameter identification for a class of nonlinear input/output differential operator models, [1992] Proceedings of the 31st IEEE Conference on Decision and Control, pp.3656-3660, 1992.
DOI : 10.1109/CDC.1992.370969

J. F. Ritt, Differential Algebra, 1950.
DOI : 10.1090/coll/033

M. Rosenkranz and G. Regensburger, Integro-differential polynomials and operators, Proceedings of the twenty-first international symposium on Symbolic and algebraic computation, ISSAC '08, pp.261-268, 2008.
DOI : 10.1145/1390768.1390805

M. Shinbrot, On the analysis of linear and nonlinear dynamical systems from transient-response data, 1954.

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