Uneingeschränkter Zugang

Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

International Journal of Applied Mathematics and Computer Science's Cover Image
International Journal of Applied Mathematics and Computer Science
Advances in Control and Fault-Tolerant Systems (special issue), Józef Korbicz, Didier Maquin and Didier Theilliol (Eds.)

Zitieren

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.2003.819835Search 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/v10006-007-0021-4Search 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): 59-69.10.51400/2709-6998.2078Search in Google Scholar

Chen, J. and Patton, R. (1999). Robust Model-Based Fault Diagnosis for Dynamic Systems, Kluwer, Boston, MA.10.1007/978-1-4615-5149-2Search 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): 377-401.10.1177/1077546309106525Search 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)00177-6Search 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.2008.924315Search 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): 632-635.10.1109/9.76372Search 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.2004.12.002Search in Google Scholar

Isermann, R. (2006). Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance, Springer, Berlin.10.1007/3-540-30368-5Search 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.2006.878732Search 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.1138Search 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): 787-803.10.1080/00207170050029287Search 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): 1805-1810.10.1109/9.964696Search 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.10.1007/978-3-642-16776-8Search 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.2010.03.010Search 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.2003.812691Search 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.2007.894983Search 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): 853-865.10.1109/9.928586Search 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): 736-742.10.1109/9.920792Search 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/v10006-007-0040-1Search 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)00002-5Search 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.1985.6313399Search 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.2011.2104363Search 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)00052-3Search 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/s00034-010-9239-8Search 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.2007.02.008Search 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.2009.2036005Search 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:20070283Search 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.2008.03.008Search 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.2006.879996Search in Google Scholar

ISSN:
1641-876X
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Mathematik, Angewandte Mathematik