B. D. Anderson, R. R. Bitmead, C. R. Johnson, P. V. Kokotovic, R. L. Kosut et al., Stability of adaptive systems: passivity and averaging analysis. Signal processing, optimization, and control, 1986.

B. D. Anderson and J. B. Moore, Optimal Filtering, IEEE Transactions on Systems, Man, and Cybernetics, vol.12, issue.2, 1979.
DOI : 10.1109/TSMC.1982.4308806

W. F. Arnold and A. J. Laub, Generalized eigenproblem algorithms and software for algebraic Riccati equations, Proceedings of the IEEE, vol.72, issue.12, pp.1746-1754, 1984.
DOI : 10.1109/PROC.1984.13083

J. Choi, Linear systems and controls. Lecture notes, 2010.

B. Delyon, A note on uniform observability, IEEE Transactions on Automatic Control, vol.46, issue.8, pp.1326-1327, 2001.
DOI : 10.1109/9.940944

U. Forssell and L. Ljung, Identification of unstable systems using output error and Box-Jenkins model structures, IEEE Transactions on Automatic Control, vol.45, issue.1, pp.137-141, 2000.
DOI : 10.1109/9.827371

D. M. Goodman and D. G. Dudley, An output error model and algorithm for electromagnetic system identification, Circuits, Systems, and Signal Processing, vol.7, issue.4, pp.471-505, 1987.
DOI : 10.1007/BF01600236

M. S. Grewal and A. P. Andrews, Kalman Filtering: Theory and Practice with Matlab, 2015.
DOI : 10.1002/9781118984987

P. Ioannou and J. Sun, Robust Adaptive Control, 1996.
DOI : 10.1201/b10384-41
URL : https://hal.archives-ouvertes.fr/hal-01394197

A. H. Jazwinski, Stochastic Processes and Filtering Theory, 1970.

R. E. Kalman, New methods in Wiener filtering theory, Proceedings of the First Symposium on Engineering Applications of Random Function Theory and Probability, pp.270-388, 1963.

P. Kim, Kalman Filter for Beginners: with Matlab Examples, CreateSpace, 2011.

A. J. Laub, A Schur method for solving algebraic Riccati equations, IEEE Transactions on Automatic Control, vol.24, issue.6, pp.913-921, 1979.
DOI : 10.1109/TAC.1979.1102178

L. Ljung, System Identification: Theory for the User, 1999.

B. Ni and Q. Zhang, Kalman filter for process noise free systems, IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP), 2013.
DOI : 10.3182/20130703-3-FR-4038.00062
URL : https://hal.archives-ouvertes.fr/hal-00854678

B. Ni and Q. Zhang, Stability of the Kalman filter for output error systems, Submitted to the 17th IFAC Symposium on System Identification, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01232177

M. Pengov, E. Richard, and J. Vivalda, On the boundedness of the solutions of the continuous Riccati equation, Journal of Inequalities and Applications, vol.2001, issue.6, pp.641-649, 2001.
DOI : 10.1155/S102558340100039X

L. Wang, R. Ortega, H. Su, Z. Liu, and X. Liu, A robust output error identifier for continuous-time systems, International Journal of Adaptive Control and Signal Processing, vol.34, issue.7, pp.443-456, 2015.
DOI : 10.1002/acs.2483
URL : https://hal.archives-ouvertes.fr/hal-01261542

P. Zarchan and H. Musof, Fundamentals of Kalman filtering: a practical approach, 2005.

L. Zhang and Q. Zhang, Observability conservation by output feedback and observability Gramian bounds, Automatica, vol.60, pp.38-42, 2015.
DOI : 10.1016/j.automatica.2015.06.031
URL : https://hal.archives-ouvertes.fr/hal-01231786