Fault Tolerant Multicontrollers for Nonlinear Systems: A Real Validation on a Chemical Process

Abdelkrim, N., Tellili, A. and Abdelkrim, M.N. (2012). Additive fault tolerant control applied to delayed singularly perturbed system, Journal of Software Engineering and Applications5(04): 217.10.4236/jsea.2012.54027Search in Google Scholar

Allaoui, M., Messaoud, A., Dehri, K. and Ben Abdennour, R. (2017). Multimodel repetitive-predictive control of nonlinear systems: Rejection of unknown non-stationary sinusoidal disturbances, International Journal of Control90(7): 1478–1494.10.1080/00207179.2016.1210233Search in Google Scholar

Ben Atia, S., Messaoud, A. and Ben Abdennour, R. (2015). Decoupled multimodel predictive control based on multi-observer for discrete-time uncertain nonlinear systems, 12th International Multi-Conference on Systems, Signals and Devices (SSD), Mahdia, Tunisia, pp. 1–8.Search in Google Scholar

Ben Atia, S., Messaoud, A. and Ben Abdennour, R. (2018). An online identification algorithm of unknown time-varying delay and internal multimodel control for discrete non-linear systems, Mathematical and Computer Modelling of Dynamical Systems24(1): 26–43.10.1080/13873954.2017.1352607Search in Google Scholar

Ben Atia, S., Messaoud, A., Ltaief, M. and Ben Abdennour, R. (2014). Synthesis of multi-observers for discrete-time nonlinear systems with delayed output, International Journal of Sciences and Techniques of Automatic Control and Computer Engineering8(1): 1966–1981.Search in Google Scholar

Bonfè, M., Castaldi, P., Mimmo, N. and Simani, S. (2011). Active fault tolerant control of nonlinear systems: The cart-pole example, International Journal of Applied Mathematics and Computer Science21(3): 441–445, DOI: 10.2478/v10006-011-0033-y.10.2478/v10006-011-0033-ySearch in Google Scholar

Buciakowski, M., Witczak, M., Puig, V., Rotondo, D., Nejjari, F. and Korbicz, J. (2017). A bounded-error approach to simultaneous state and actuator fault estimation for a class of nonlinear systems, Journal of Process Control52: 14–25.10.1016/j.jprocont.2017.01.002Search in Google Scholar

Chaves, E.R., André, F.A. and Maitelli, A.L. (2019). Robust observer-based actuator and sensor fault estimation for discrete-time systems, Journal of Control, Automation and Electrical Systems30(2): 160–169.10.1007/s40313-018-00435-wSearch in Google Scholar

Du, D., Jiang, B. and Shi, P. (2014). Sensor fault estimation and accommodation for discrete-time switched linear systems, IET Control Theory and Applications8(11): 960–967.10.1049/iet-cta.2013.0820Search in Google Scholar

Gao, Z., Cecati, C. and Ding, S.X. (2015). A survey of fault diagnosis and fault-tolerant techniques I: Fault diagnosis with model-based and signal-based approaches, IEEE Transactions on Industrial Electronics62(6): 3757–3767.10.1109/TIE.2015.2417501Search in Google Scholar

Ichalal, D., Marx, B., Ragot, J., Mammar, S. and Maquin, D. (2016). Sensor fault tolerant control of nonlinear Takagi–Sugeno systems. Application to vehicle lateral dynamics, International Journal of Robust and Nonlinear Control26(7): 1376–1394.Search in Google Scholar

Jiang, J. and Yu, X. (2012). Fault-tolerant control systems: A comparative study between active and passive approaches, Annual Reviews in Control36(1): 60–72.10.1016/j.arcontrol.2012.03.005Search in Google Scholar

Jiang, Y. and Yin, S. (2018). Recent advances in key-performance-indicator oriented prognosis and diagnosis with a Matlab toolbox: DB-KIT, IEEE Transactions on Industrial Informatics15(5): 2849–2858, DOI: 10.1109/TII.2018.2875067.10.1109/TII.2018.2875067Search in Google Scholar

Jiang, Y., Yin, S. and Kaynak, O. (2018). Data-driven monitoring and safety control of industrial cyber-physical systems: Basics and beyond, IEEE Access6: 47374–47384.10.1109/ACCESS.2018.2866403Search in Google Scholar

Khelassi, A., Theilliol, D., Weber, P. and Ponsart, J.C. (2011). Fault-tolerant control design with respect to actuator health degradation: An LMI approach, IEEE International Conference on Control Applications, Denver, CO, USA, pp. 983–988.Search in Google Scholar

Ma, F. and Hanna, M.A. (1999). Biodiesel production: A review, Bioresource Technology70(1): 1–15.10.1016/S0960-8524(99)00025-5Search in Google Scholar

Meher, L., Vidya S., D. and Naik, S. (2006). Technical aspects of biodiesel production by transesterification—A review, Renewable and Sustainable Energy Reviews10(3): 248–268.10.1016/j.rser.2004.09.002Search in Google Scholar

Messaoud, A. and Ben Abdennour, R. (2018). An experimental validation of a new method for multimodel identification, Journal of Dynamic Systems, Measurement, and Control140(2): 024502.10.1115/1.4037530Search in Google Scholar

Messaoud, A., Ltaief, M. and Ben Abdennour, R. (2009). Supervision based on partial predictors for a multimodel generalised predictive control: Experimental validation on a semi-batch reactor, International Journal of Modelling, Identification and Control6(4): 333–340.10.1504/IJMIC.2009.024740Search in Google Scholar

Narendra, K.S. and Balakrishnan, J. (1997). Adaptive control using multiple models, IEEE Transactions on Automatic Control42(2): 171–187.10.1109/9.554398Search in Google Scholar

Noura, H., Theilliol, D., Ponsart, J.C. and Chamseddine, A. (2009). Fault-Tolerant Control Systems: Design and Practical applications, Springer Science & Business Media, Dordrecht.10.1007/978-1-84882-653-3Search in Google Scholar

Noura, H., Theilliol, D. and Sauter, D. (2000). Actuator fault-tolerant control design: Demonstration on a three-tank-system, International Journal of Systems Science31(9): 1143–1155.10.1080/002077200418414Search in Google Scholar

Odgaard, P.F. and Stoustrup, J. (2012). Fault tolerant control of wind turbines using unknown input observers, 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Mexico City, Mexico, pp. 313–318.Search in Google Scholar

Orjuela, R., Marx, B., Ragot, J. and Maquin, D. (2009). On the simultaneous state and unknown input estimation of complex systems via a multiple model strategy, IET Control Theory & Applications3(7): 877–890.10.1049/iet-cta.2008.0148Search in Google Scholar

Orjuela, R., Marx, B., Ragot, J. and Maquin, D. (2013). Nonlinear system identification using heterogeneous multiple models, International Journal of Applied Mathematics and Computer Science23(1): 103–115, DOI: 10.2478/amcs-2013-0009.10.2478/amcs-2013-0009Search in Google Scholar

Pazera, M., Buciakowski, M. and Witczak, M. (2017). Robust multiple sensor fault-tolerant control for dynamic non-linear systems: Application to the aerodynamical twin-rotor system, International Journal of Applied Mathematics and Computer Science28(2): 297–308, DOI: 10.2478/amcs-2018-0021.10.2478/amcs-2018-0021Search in Google Scholar

Pico, M.F. and Adam, E.J. (2017). Fault diagnosis and tolerant control using observer banks applied to continuous stirred tank reactor, Advances in Science, Technology and Engineering Systems Journal1(3): 171–181.10.25046/aj020322Search in Google Scholar

Prajapati, A.K. and Roy, B. (2016). Multi-fault diagnosis in three coupled tank system using unknown input observer, IFACPapersOnLine49(1): 47–52.10.1016/j.ifacol.2016.03.027Search in Google Scholar

Rodrigues, M., Hamdi, H., Benhadj Braiek, N. and Theilliol, D. (2014). Observer-based fault tolerant control design for a class of LPV descriptor systems, Journal of the Franklin Institute351(6): 3104–3125.10.1016/j.jfranklin.2014.02.016Search in Google Scholar

Sobhani, M.H. and Poshtan, J. (2012). Fault detection and isolation using unknown input observers with structured residual generation, International Journal of Instrumentation and Control Systems2(2): 1–12.10.5121/ijics.2012.2201Search in Google Scholar

Sojoudi, S., Lavaei, J. and Murray, R.M. (2011). Fault-tolerant controller design with applications in power systems and synthetic biology, American Control Conference (ACC), San Francisco, CA, USA, pp. 4135–4142.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 Cybernetics15(1): 116–132.10.1109/TSMC.1985.6313399Search in Google Scholar

Tanaka, K. and Wang, H.D. (2001). Fuzzy Control System Design and Analysis: A Linear Matrix Inequality Approach, Wiley, New York, NY.Search in Google Scholar

Theilliol, D., Join, C. and Zhang, Y. (2008). Actuator fault tolerant control design based on a reconfigurable reference input, International Journal of Applied Mathematics and Computer Science18(4): 553–560, DOI: 10.2478/v10006-008-0048-1.10.2478/v10006-008-0048-1Search in Google Scholar

Theilliol, D., Ponsart, J.C. and Noura, H. (2000). Sensor fault diagnosis and accommodation based on analytical redundancy: Application to a three-tank system, IFAC Proceedings Volumes33(11): 535–540.10.1016/S1474-6670(17)37414-1Search in Google Scholar

Witczak, M., Buciakowski, M., Puig, V., Rotondo, D. and Nejjari, F. (2016). An LMI approach to robust fault estimation for a class of nonlinear systems, International Journal of Robust and Nonlinear Control26(7): 1530–1548.10.1002/rnc.3365Search in Google Scholar

Yu, X. and Jiang, J. (2015). A survey of fault-tolerant controllers based on safety-related issues, Annual Reviews in Control39: 46–57.10.1016/j.arcontrol.2015.03.004Search in Google Scholar

Zhang, Y. and Jiang, J. (2008). Bibliographical review on reconfigurable fault-tolerant control systems, Annual Reviews in Control32(2): 229–252.10.1016/j.arcontrol.2008.03.008Search in Google Scholar