New fault tolerant control strategies for nonlinear Takagi-Sugeno systems

 Access to full text

 Full (PDF)

1. Akhenak, A., Chadli, M., Ragot, J. and Maquin, D. (2008). Fault detection and isolation using sliding mode observer for uncertain Takagi-Sugeno fuzzy model, 16th Mediterranean Conference on Control and Automation, Ajaccio, France, pp. 286-291. 
2. Corless, M. and Tu, J. (1998). State and input estimation for a class of uncertain systems, Automatica 34(6): 757-764. Zbl0932.93008
3. Darouach, M., Zasadzinski, M. and Xu, S. (1994). Full-order observers for linear systems with unknown inputs, IEEE Transactions on Automatic Control 39(3): 606-609. Zbl0813.93015
4. Gao, Z. and Ding, S. X. (2007). Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems, Automatica 43(5): 912-920. Zbl1117.93019
5. Ibrir, S. (2004). Robust state estimation with q-integral observers, American Control Conference, Boston, MA, USA, pp. 3466-3471. 
6. Ichalal, D., Marx, B., Ragot, J. and Maquin, D. (2009a). Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi-Sugeno model with unmeasurable premise variables, 17th Mediterranean Conference on Control and Automation, MED'09, Thessaloniki, Greece, pp. 353-358. 
7. Ichalal, D., Marx, B., Ragot, J. and Maquin, D. (2010). Fault tolerant control for Takagi-Sugeno systems with unmeasurable premise variables by trajectory tracking, IEEE International Symposium on Industrial Electronics, Bari, Italy, pp. 2097-2102. 
8. Koenig, D. and Mammar, S. (2002). Design of a proportional integral observer for unknown input descriptor systems, IEEE Transactions on Automatic Control 47(12): 2057-2063. 
9. Kruszewski, A., Wang, R. and Guerra, T.M. (2008). Nonquadratic stabilization conditions for a class of uncertain nonlinear discrete time T-S fuzzy models: A new approach, IEEE Transactions on Automatic Control 53(2): 606-611. 
10. Leith, D.J. and Leithead, W.E. (1999). Survey of gainscheduling analysis design, International Journal of Control 73(11): 1001-1025. Zbl1006.93534
11. Luenberger, D. (1971). An introduction to observers, IEEE Transactions on Automatic Control 16(6): 596-602. 
12. Marx, B., Koenig, D. and Ragot, J. (2007). Design of observers for Takagi-Sugeno descriptor systems with unknown inputs and application to fault diagnosis, IET Control Theory and Application 1(5): 1487-1495. 
13. Mufeed, M.M., Jiang, J. and Zhang, Z. (2003). Active Fault Tolerant Control Systems: Stochastic Analysis and Synthesis, Springer-Verlag, Berlin/Heidelberg. Zbl1036.93002
14. Nagy, A., Mourot, G., Marx, B., Schutz, G. and Ragot, J. (2009). Model structure simplification of a biological reactor, 15th IFAC Symposium on System Identification, SYSID'09, Saint Malo, France, pp. 257-262. 
15. Niemann, H. and Stoustrup, J. (2005). Passive fault tolerant control of a double inverted pendulum-A case study, Control Engineering Practice 13(8): 1047-1059. 
16. Ocampo-Martinez, C., De Dona, J. and Seron, M. (2010). Actuator fault-tolerant control based on set separation, International Journal of Adaptive Control and Signal Processing 24(12): 1070-1090. Zbl1207.94093
17. Oudghiri, M., Chadli, M. and El Hajjaji, A. (2008). Robust observer-based fault tolerant control for vehicle lateral dynamics, International Journal of Vehicle Design 48(3-4): 173-189. 
18. Patton, R. (1997). Fault-tolerant control systems: The 1997 situation, 3rd IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Hull, UK, pp. 1033-1054. 
19. Patton, R.J. and Klinkhieo, S. (2009a). An LPV approach to active FTC of a two-link manipulator, 7th Workshop on Advanced Control and Diagnosis, Zielona Góra, Poland. 
20. Patton, R. and Klinkhieo, S. (2009b). Actuator fault estimation and compensation based on an augmented state observer approach, 48th IEEE Conference Decision and Control/28th Chinese Control Conference, CDC/CCC 2009, Shanghai, China, pp. 8482-8487. 
21. Sala, A. and Ariño, C. (2007). Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: Applications of Polya's theorem, Fuzzy Sets and Systems 158(24): 2671-2686. Zbl1133.93348
22. Stilwell, D.J. and Rugh, W.J. (1997). Interpolation of observer state feedback controllers for gain scheduling, IEEE Transactions on Automatic Control 44(6): 1225-1229. Zbl0955.93043
23. Takagi, T. and Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics 15(1): 116-132. Zbl0576.93021
24. Tanaka, K. and Wang, H. (2001). Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach, John Wiley and Sons, Hoboken, NJ. 
25. Tuan, H., Apkarian, P., Narikiyo, T. and Yamamoto, Y. (2001). Parameterized linear matrix inequality techniques in fuzzy control system design, IEEE Transactions on Fuzzy Systems 9(2): 324-332. 
26. Witczak, M., Dziekan, L., Puig, V. and Korbicz, J. (2008). Design of a fault-tolerant control scheme for Takagi-Sugeno fuzzy systems, 16th Mediterranean Conference on Control and Automation, Ajaccio, France, pp. 280-285. 
27. Zhang, K., Jiang, B. and Cocquempot, V. (2008). Adaptive observer-based fast fault estimation, International Journal of Control, Automation, and Systems 6(3): 320-326. 
28. Zhang, K., Jiang, B. and Shi, P. (2009). A new approach to observer-based fault-tolerant controller design for Takagi-Sugeno fuzzy systems with state delay, Circuits, Systems, and Signal Processing 28(5): 679-697. Zbl1173.94476

1. Ali Ben Brahim, Slim Dhahri, Fayçal Ben Hmida, Anis Sellami, An $H_{\infty }$ sliding mode observer for Takagi-Sugeno nonlinear systems with simultaneous actuator and sensor faults
2. Rodolfo Orjuela, Benoît Marx, José Ragot, Didier Maquin, Nonlinear system identification using heterogeneous multiple models
3. Hoda Moodi, Mohammad Farrokhi, Robust observer design for Sugeno systems with incremental quadratic nonlinearity in the consequent
4. Marcin Mrugalski, An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection