[Bezzaoucha, S., Marx, B., Maquin, D. and Ragot, J. (2013a). State and parameter estimation for nonlinear systems: A10.1109/ACC.2013.6579975]Search in Google Scholar
[Takagi-Sugeno approach, American Control Conference, ACC’2013, Washington, DC, USA, pp. 1050-1055.]Search in Google Scholar
[Bezzaoucha, S., Marx, B., Maquin, D. and Ragot, J. (2013b). State and parameter estimation for time-varying systems: A Takagi-Sugeno approach, 5th Symposium on System Structure and Control/IFAC Joint Conference 2013 SSSC, Grenoble, France.10.1109/ACC.2013.6579975]Search in Google Scholar
[Blanco, Y. (2001). Stabilisation des Modeles Takagi-Sugeno et leur usage pour la commande des systemes non lineaires, PhD thesis, Universit´e des Sciences et Technologies de Lille, Lille.]Search in Google Scholar
[Boyd, S.P., El Ghaoui, L., Feron, E. and Balakrishnan, V. (1994). Linear Matrix Inequalities in System and Control Theory, SIAM, NewYork, NY.10.1137/1.9781611970777]Search in Google Scholar
[Caccavale, F., Pierri, F. and Villani, L. (2008). Adaptive observer for fault diagnosis in nonlinear discrete-time systems, Journal of Dynamic Systems, Measurement, and Control 130(2): 021005.10.1115/1.2837310]Search in Google Scholar
[Cho, Y.M. and Rajamani, R. (1997). A systematic approach to adaptive observer synthesis for nonlinear systems, IEEE Transactions on Automatic Control 42(4): 534-537.10.1109/9.566664]Open DOISearch in Google Scholar
[Ţiclea, A. and Besançon, G. (2016). Adaptive observer design for discrete time LTV systems, International Journal of Control 89(12): 2385-2395.10.1080/00207179.2016.1157901]Search in Google Scholar
[de Souza, C.E. and Xie, L. (1992). On the discrete-time bounded real lemma with application in the characterization of static state feedback H∞ controllers, Systems & Control Letters 18(1): 61-71.10.1016/0167-6911(92)90108-5]Open DOISearch in Google Scholar
[Guyader, A. and Zhang, Q. (2003). Adaptive observer for discrete time linear time varying systems, 13th IFAC/IFORS Symposium on System Identification, SYSID’2003, Rotterdam, The Netherlands, pp. 1705-1710.10.1016/S1474-6670(17)35006-1]Search in Google Scholar
[Ichalal, D., Mammar, S., Dabladji, M. E.-H. and Ragot, J. (2015). Observer design for a class of discrete-time quasi-LPV systems with unknown parameters: Algebraic approach, 2015 European Control Conference (ECC), Linz, Austria, pp. 915-920.10.1109/ECC.2015.7330659]Search in Google Scholar
[Ichalal, D., Marx, B., Maquin, D. and Ragot, J. (2016). A method to avoid the unmeasurable premise variables in observer design for discrete time TS systems, International Conference on Fuzzy Systems, FUZZ-IEEE’2016, Vancouver, Canada, pp. 2343-2348.10.1109/FUZZ-IEEE.2016.7737986]Search in Google Scholar
[Ichalal, D.,Marx, B., Ragot, J. and Maquin, D. (2009). State and unknown input estimation for nonlinear systems described by Takagi-Sugeno models with unmeasurable premise variables, 17th Mediterranean Conference on Control and Automation, MED’09, Thessaloniki, Greece, pp. 217-222.10.1109/MED.2009.5164542]Search in Google Scholar
[Kwiatkowski, A., Boll, M.T. and Werner, H. (2006). Automated generation and assessment of affine LPV models, Proceedings of the 45th IEEE Conference on Decision and Control CDC’06, San Diego, CA, USA, pp. 6690-6695.10.1109/CDC.2006.377768]Search in Google Scholar
[Lendek, Z., Guerra, T.M. and De Schutter, B. (2010). Stability analysis and nonlinear observer design using Takagi-Sugeno fuzzy models, Fuzzy Sets and Systems 161(15): 2043-2065.10.1016/j.fss.2010.03.010]Search in Google Scholar
[Löfberg, J. (2004). YALMIP: A toolbox for modeling and optimization in Matlab, International Symposium on Computer Aided Control Systems Design, Taipei, Taiwan, pp. 284-289.]Search in Google Scholar
[Nagy, A.M., Mourot, G., Marx, B., Ragot, J. and Schutz, G. (2010). Systematic multimodeling methodology applied to an activated sludge reactor model, Industrial & Engineering Chemistry Research 49(6): 2790-2799.10.1021/ie8017687]Open DOISearch in Google Scholar
[Ohtake, H., Tanaka, K. and Wang, H.O. (2003). Fuzzy modeling via sector nonlinearity concept, Integrated Computer- Aided Engineering 10(4): 333-341.10.3233/ICA-2003-10404]Search in Google Scholar
[Srinivasarengan, K., Ragot, J., Maquin, D. and Aubrun, C. (2016a). Joint state and parameter estimation for discrete-time Takagi-Sugeno model, 13th European Workshop on Advanced Control and Diagnosis, ACD 2016, Lille, France, pp. 012016.10.1088/1742-6596/783/1/012016]Search in Google Scholar
[Srinivasarengan, K., Ragot, J., Maquin, D. and Aubrun, C. (2016b). Nonlinear joint state-parameter observer for VAV damper position estimation, 3rd Conference on Control and Fault-Tolerant Systems, SysTol 2016, Barcelona, Spain, pp. 164-169.10.1109/SYSTOL.2016.7739745]Search in Google Scholar
[Tanaka, K. and Wang, H.O. (2004). Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach, John Wiley & Sons, New York, NY.]Search in Google Scholar
[Thumati, B.T. and Sarangapani, J. (2008). A model based fault detection scheme for nonlinear multivariable discrete-time systems, 2008 IEEE International Conference on Systems, Man and Cybernetics, Singapore, pp. 1978-1983.10.1109/ICSMC.2008.4811580]Search in Google Scholar
[Zhou, K. and Khargonekar, P.P. (1988). Robust stabilization of linear systems with norm-bounded time-varying uncertainty, Systems & Control Letters 10(1): 17-20.10.1016/0167-6911(88)90034-5]Open DOISearch in Google Scholar