[Babuska, R. (1998). Fuzzy Modeling for Control, Kluwer Academic Publishers, Boston, MA.]Search in Google Scholar
[Boukezzoula, R., Galichet, S. and Folloy, L. (2003). Nonlinear internal model control: Application of inverse model based fuzzy control, IEEE Transactions on Fuzzy Systems 11(6): 814-829.10.1109/TFUZZ.2003.819835]Search in Google Scholar
[Boukezzoula, R., Galichet, S. and Foulloy, L. (2007). Fuzzy feedback linearizing controller and its equivalence with the fuzzy nonlinear internal model control structure, International Journal of Applied Mathematics and Computer Science 17(2): 233-248, DOI: 10.2478/v10006-007-0021-4.10.2478/v10006-007-0021-4]Search in Google Scholar
[Chang, C. and Yeh, Y. (2006). Variance constrained fuzzy control for observer-based T-S fuzzy models with minimizing auxiliary performance index, Journal of Intelligent and Fuzzy Systems 17(1): 59-69.10.51400/2709-6998.2078]Search in Google Scholar
[Chen, J. and Patton, R. (1999). Robust Model-Based Fault Diagnosis for Dynamic Systems, Kluwer, Boston, MA.10.1007/978-1-4615-5149-2]Search in Google Scholar
[Chen, W. and Saif, M. (2010). Fuzzy nonlinear unknown input observer design with fault diagnosis applications, Journal of Vibration and Control 16(3): 377-401.10.1177/1077546309106525]Search in Google Scholar
[Christophe, C., Cocquempot, V. and Jiang, B. (2002). Link between highgain observer-based residual and parity space one, Proceedings of the American Control Conference, Anchorage, AK, USA, pp. 2100-2105.]Search in Google Scholar
[Ding, X. and Frank, M. (1993). An adaptive observer-based fault detection schme for nonlinear systems, Proceedings of the 12th IFAC World Congress, Sydney, Australia, pp. 307-312.]Search in Google Scholar
[Edwards, C., Spurgeon, S. and Patton, R. (2000). Sliding mode observers for fault detection and isolation, Automatica 36(2): 541-553.10.1016/S0005-1098(99)00177-6]Search in Google Scholar
[Fu, Y., Duan, G. and Song, S. (2004). Design of unknown input observer for linear time-delay systems, International Journal of Control, Automation, and Systems 2(4): 530-535.]Search in Google Scholar
[Gao, H., Zhao, Y. and Chen, T. (2009). H∞ fuzzy control of nonlinear systems under unreliable communication links, IEEE Transactions on Fuzzy Systems 17(2): 265-278.10.1109/TFUZZ.2008.924315]Search in Google Scholar
[Gao, Z., Jiang, B., Shi, P. and Xu, Y. (2010). Fault accommodation for near space vehicle attitude dynamics via T-S fuzzy models, International Journal of Innovative Computing Information and Control 6(11): 4843-4856.]Search in Google Scholar
[Gu, Z., Peng, C. and Tian, E. (2010). Reliable control for a class of discrete-time state-delayed nonlinear systems with stochastic actuators failures, ICIC Express Letters pp. 2475-2480.]Search in Google Scholar
[Guan, Y. and Saif, M. (1991). Novel approach to the design of unknown input observers, IEEE Transactions on Automatic Control 36(5): 632-635.10.1109/9.76372]Search in Google Scholar
[Guo, Y., Jiang, B. and Shi, P. (2010). Delay-dependent adaptive reconfiguration control in the presence of input saturation and actuator faults, International Journal of Innovative Computing, Information and Control 6(4): 1873-1882.]Search in Google Scholar
[Isermann, R. (2005). Model-based fault detection and diagnosis status and application, Annual Reviews in Control 29(1): 71-85.10.1016/j.arcontrol.2004.12.002]Search in Google Scholar
[Isermann, R. (2006). Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance, Springer, Berlin.10.1007/3-540-30368-5]Search in Google Scholar
[Jiang, B., Staroswiecki, M. and Cocquempot, V. (2001). Fault diagnosis for a class of nonlinear systems with unknown paramenters, Proceedings of the 4th IFAC Workshop on Online Fault Detection and Supervision in the Chemical Process Industries, Seoul, South Korea, pp. 181-186.]Search in Google Scholar
[Jiang, B., Staroswiecki, M. and Cocquempot, V. (2006). Fault accommodation for nonlinear dynamic systems, IEEE Transactions on Automatic Control 51(9): 1805-1809.10.1109/TAC.2006.878732]Search in Google Scholar
[Jiang, B., Zhang, K. and Shi, P. (2010). Less conservative criteria for fault accommodation of time-varying delay systems using adaptive fault diagnosis observer, International Journal of Adaptive Control and Signal Processing 24(4): 322-334.10.1002/acs.1138]Search in Google Scholar
[Kabore, R., Othman, S., Mckenna, T. and Hammouri, H. (2000). Observer-based fault diagnosis for a class of nonlinear systems-application to a free radical copolymerization reaction, International Journal of Control 73(9): 787-803.10.1080/00207170050029287]Search in Google Scholar
[Kabore, R. and Wang, H. (2001). Design of fault diagnosis filters and fault-tolerant control for a class of nonlinear systems, IEEE Transactions on Automatic Control 46(11): 1805-1810.10.1109/9.964696]Search in Google Scholar
[Lendek, Z., Guerra, T., Babuska, R. and Schutter, B. (2010a). Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models, Springer, Berlin.10.1007/978-3-642-16776-8]Search in Google Scholar
[Lendek, Z., Lauberb, J. and Guerra, T. (2010b). Adaptive observers for T-S fuzzy systems with unknown polynomial inputs, Fuzzy Sets and Systems 16(1): 2043-2065.10.1016/j.fss.2010.03.010]Search in Google Scholar
[Nguang, S. and Shi, P. (2003). H∞ fuzzy output feedback control design for nonlinear systems: An LMI approach, IEEE Transactions on Fuzzy Systems 11(3): 331-340.10.1109/TFUZZ.2003.812691]Search in Google Scholar
[Nguang, S., Shi, P. and Ding, X. (2007). Fault detection for uncertain fuzzy systems: An LMI approach, IEEE Transactions on Fuzzy Systems 15(6): 1251-1262.10.1109/TFUZZ.2007.894983]Search in Google Scholar
[Pang, H. and Tang, G. (2010). Global robust optimal sliding mode control for a class of nonlinear systems with uncertainties, ICIC Express Letters 4(6): 2501-2508.]Search in Google Scholar
[Patton, R., Toribiot, C. and Simanit, S. (2001). Robust fault diagnosis in a chemical process using multiple-model approach, Proceedings of the 40th IEEE Conference on Decision and Control, Orlando, FL, USA, pp. 149-154.]Search in Google Scholar
[Persis, C. and Isidori, A. (2001). A geometric approach to nonlinear fault detection and isolation, IEEE Transactions on Automatic Control 46(6): 853-865.10.1109/9.928586]Search in Google Scholar
[Polycarpou, M. (2001). Fault accommodation of a class of multivariable nonlinear dynamical systems using learing approach, IEEE Transactions on Automatic Control 46(5): 736-742.10.1109/9.920792]Search in Google Scholar
[Seliger, R. and Frank, M. (1991). Fault diagnosis by disturbance decoupled nonlinear observers, Proceedings of the 30th IEEE Control Decision Conference, Brighton, UK, pp. 2248-2253.]Search in Google Scholar
[Shumsky, A. (2007). Redundancy relations for fault diagnosis in nonlinear uncertain systems, International Journal of Applied Mathematics and Computer Science 17(4): 477-489, DOI: 10.2478/v10006-007-0040-1.10.2478/v10006-007-0040-1]Search in Google Scholar
[Staroswiecki, M. and Gehin, A. (2001). From control to supervision, Annual Reviews in Control 25(1): 1-11.10.1016/S1367-5788(01)00002-5]Search in Google Scholar
[Takagi, T. and Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics—Part B 17(2): 116-132.10.1109/TSMC.1985.6313399]Search in Google Scholar
[Tanaka, K. and Wang, H. (2001). Fuzzy Control System Design and Analysis: A Linear Matrix Inequality Approach, John Wiley and Sons, New York, NY.]Search in Google Scholar
[Vachtsevanos, G., Lewis, F. and Roemer, F. (2006). Intelligent Fault Diagnosis and Prognosis for Engineering Systems, John Wiley and Sons Ltd., Hoboken, NJ.]Search in Google Scholar
[Wu, L., Su, X., Shi, P. and Qiu, J. (2011). Model approximation for discrete-time state-delay systems in the T-S fuzzy framework, IEEE Transactions on Fuzzy Systems 19(2): 366-378.10.1109/TFUZZ.2011.2104363]Search in Google Scholar
[Xie, X., Zhou, D. and Jin, Y. (1999). Strong tracking filter based adaptive generic model control, Journal of Process Control 9(4): 337-350.10.1016/S0959-1524(98)00052-3]Search in Google Scholar
[Xu, Y., Jiang, B., Tao, G. and Gao, Z. (2011a). Fault accommodation for near space hypersonic vehicle with actuator fault, International Journal of Innovative Computing, Information and Control 7(5): 2187-2200.]Search in Google Scholar
[Xu, Y., Jiang, B., Tao, G. and Gao, Z. (2011b). Fault tolerant control for a class of nonlinear systems with application to near space vehicle, Circuits, Systems, and Signal Processing 30(3): 655-672.10.1007/s00034-010-9239-8]Search in Google Scholar
[Yan, X. and Edwards, C. (2007). Nonlinear robust fault reconstruction and estimation using a sliding mode observer, Automatica 43(9): 1605-1614.10.1016/j.automatica.2007.02.008]Search in Google Scholar
[Yang, Q. (2004). Model-based and Data Driven Fault Diagnosis Methods with Applications to Process Monitoring, Ph.D. thesis, Case Western Reserve University, Cleveland, OH.]Search in Google Scholar
[Zhang, K. and Jiang, B. (2010). Dynamic output feedback fault tolerant controller design for Takagi-Sugeno fuzzy systems with actuator faults, IEEE Transactions on Fuzzy Systems 18(1): 194-201.10.1109/TFUZZ.2009.2036005]Search in Google Scholar
[Zhang, K., Jiang, B. and Shi, P. (2009). Fast fault estimation and accommodation for dynamical systems, IET Control Theory and Applications 3(2): 337-350.10.1049/iet-cta:20070283]Search in Google Scholar
[Zhang, Y. and Jiang, J. (2008). Bibliographical review on reconfigurable fault-tolerant control systems, Annual Reviews in Control 32(1): 229-252.10.1016/j.arcontrol.2008.03.008]Search in Google Scholar
[Zhou, S., Lam, J. and Zheng, W. (2007). Control design for fuzzy systems based on relaxed nonquadratic stability and H∞ performance conditions, IEEE Transactions on Fuzzy Systems 15(2): 188-199.10.1109/TFUZZ.2006.879996]Search in Google Scholar