A. Akhenak, M. Chadli, J. Ragot, and D. Maquin, Design of sliding mode unknown input observer for uncertain Takagi-Sugeno model, 2007 Mediterranean Conference on Control & Automation, 2007.
DOI : 10.1109/MED.2007.4433753
URL : https://hal.archives-ouvertes.fr/hal-00146767

A. Akhenak, M. Chadli, J. Ragot, and D. Maquin, Fault detection and isolation using sliding mode observer for uncertain Takagi-Sugeno fuzzy model, 2008 16th Mediterranean Conference on Control and Automation, 2008.
DOI : 10.1109/MED.2008.4602239
URL : https://hal.archives-ouvertes.fr/hal-00279829

P. Bergsten and R. Palm, Thau-Luenberger observers for TS fuzzy systems, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 2000.
DOI : 10.1109/FUZZY.2000.839073

P. Bergsten, R. Palm, and D. Driankov, Fuzzy observers, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2001.
DOI : 10.1109/FUZZ.2001.1009051

P. Bergsten, R. Palm, and D. Driankov, Observers for Takagi-Sugeno fuzzy systems, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.32, issue.1, pp.114-121, 2002.
DOI : 10.1109/3477.979966

C. Edwards, S. K. Spurgeon, and R. J. Patton, Sliding mode observers for fault detection and isolation, Automatica, vol.36, issue.4, pp.541-553, 2000.
DOI : 10.1016/S0005-1098(99)00177-6

H. Hammouri, G. Bornard, and K. Busawon, High Gain Observer for Structured Multi-Output Nonlinear Systems, IEEE Transactions on Automatic Control, vol.55, issue.4, pp.987-992, 2010.
DOI : 10.1109/TAC.2010.2041614

H. Hammouri and B. Ucchueddu, High gain observers based on immersion technics, 49th IEEE Conference on Decision and Control (CDC), 2010.
DOI : 10.1109/CDC.2010.5717391

M. Heemels, J. Daafouz, G. Millerioux, ]. D. Ichalal, B. Marx et al., Observer-Based Control of Discrete-Time LPV Systems With Uncertain Parameters <formula formulatype="inline"> <tex Notation="TeX">$ $</tex></formula>, International Symposium on Advanced Control of Industrial Processes, pp.2130-2135, 2010.
DOI : 10.1109/TAC.2010.2051072

D. Ichalal, B. Marx, J. Ragot, and D. Maquin, Design of Observers for Takagi-Sugeno Systems with Immeasurable Premise Variables: an ???2 Approach, IFAC World Congress, 2008.
DOI : 10.3182/20080706-5-KR-1001.00466
URL : https://hal.archives-ouvertes.fr/hal-00201030

D. Ichalal, B. Marx, J. Ragot, and D. Maquin, An approach for the state estimation of Takagi-Sugeno models and application to sensor fault diagnosis, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009.
DOI : 10.1109/CDC.2009.5400028
URL : https://hal.archives-ouvertes.fr/hal-00407198

D. Ichalal, B. Marx, J. Ragot, and D. Maquin, State estimation of Takagi-Sugeno systems with unmeasurable premise variables. IET Control Theory and Application, pp.897-908, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00482061

D. Ichalal, B. Marx, J. Ragot, and D. Maquin, New fault tolerant control strategies for nonlinear Takagi-Sugeno systems, International Journal of Applied Mathematics and Computer Science, vol.22, issue.1, p.22, 2012.
DOI : 10.2478/v10006-012-0015-8
URL : https://hal.archives-ouvertes.fr/hal-00679497

. Zs, T. M. Lendek, R. Guerra, B. Babuska, and . Schutter, Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models, of Studies in Fuzziness and Soft Computing, 2010.

C. Letellier, S. Elaydi, L. A. Aguirre, and A. Alaoui, Difference equations versus differential equations, a possible equivalence for the R??ssler system?, Physica D: Nonlinear Phenomena, vol.195, issue.1-2, pp.29-49, 2004.
DOI : 10.1016/j.physd.2004.02.007

B. Marx, D. Koenig, and J. Ragot, Design of observers for Takagi???Sugeno descriptor systems with unknown inputs and application to fault diagnosis, IET Control Theory & Applications, vol.1, issue.5, pp.1487-1495, 2007.
DOI : 10.1049/iet-cta:20060412

G. Millérioux, L. Rosier, G. Bloch, and J. Daafouz, Bounded State Reconstruction Error for LPV Systems With Estimated Parameters, IEEE Transactions on Automatic Control, vol.49, issue.8, pp.1385-1389, 2004.
DOI : 10.1109/TAC.2004.832669

L. A. Mozelli, R. M. Palhares, F. O. Souza, and E. M. Mendes, Reducing conservativeness in recent stability conditions of TS fuzzy systems, Automatica, vol.45, issue.6, pp.451580-1583, 2009.
DOI : 10.1016/j.automatica.2009.02.023

R. Palm and P. Bergsten, Sliding mode observer for a Takagi Sugeno fuzzy system, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 2000.
DOI : 10.1109/FUZZY.2000.839072

R. J. Patton, J. Chen, and C. J. Lopez-toribio, Fuzzy observers for nonlinear dynamic systems fault diagnosis, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 1998.
DOI : 10.1109/CDC.1998.760594

A. M. Pertew, H. J. Marquez, and Q. Zhao, <tex>$H_infty$</tex>Observer Design for Lipschitz Nonlinear Systems, IEEE Transactions on Automatic Control, vol.51, issue.7, pp.1211-1216, 2006.
DOI : 10.1109/TAC.2006.878784

S. Raghavan and J. K. Hedrick, Observer design for a class of nonlinear systems, International Journal of Control, vol.59, issue.2, pp.515-528, 1994.
DOI : 10.1109/9.53535

R. Rajamani, Observers for Lipschitz nonlinear systems, IEEE Transactions on Automatic Control, vol.43, issue.3, pp.397-401, 1998.
DOI : 10.1109/9.661604

A. Sala and C. Ariño, Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: Applications of Polya's theorem. Fuzzy Sets and Systems, pp.2671-2686, 2007.

E. D. Sontag, On the Input-to-State Stability Property, European Journal of Control, vol.1, issue.1, pp.351-359, 1995.
DOI : 10.1016/S0947-3580(95)70005-X

T. Takagi and M. Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics, vol.15, issue.1, pp.116-132, 1985.
DOI : 10.1109/TSMC.1985.6313399

K. Tanaka, T. Hori, and H. O. Wang, A multiple lyapunov function approach to stabilization of fuzzy control systems, IEEE Transactions on Fuzzy Systems, vol.11, issue.4, pp.582-589, 2003.
DOI : 10.1109/TFUZZ.2003.814861

K. Tanaka and H. O. Wang, Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach, 2001.
DOI : 10.1002/0471224596

F. E. Thau, Observing the state of non-linear dynamic systems???, International Journal of Control, vol.82, issue.3, pp.471-479, 1973.
DOI : 10.1109/TAC.1966.1098323

H. D. Tuan, P. Apkarian, T. Narikiyo, and Y. Yamamoto, Parameterized linear matrix inequality techniques in fuzzy control system design, IEEE Transactions on Fuzzy Systems, vol.9, issue.2, pp.324-332, 2001.
DOI : 10.1109/91.919253

J. Yoneyama, H ? filtering for fuzzy systems with immeasurable premise variables: an uncertain system approach. Fuzzy Sets and Systems, pp.1738-1748, 2009.