[Armeni, S., Casavola, A. and Mosca, E. (2009). Robust fault detection and isolation for LPV systems under a sensitivity constraint, International Journal of Adaptive Control and Signal Processing 23(1): 55-72.10.1002/acs.1044]Open DOISearch in Google Scholar
[Bianchi, F.D., Mantz, R.J. and De Battista, H. (2007). Wind Turbine Control Systems: Principles, Modelling and Gain Scheduling Design, Springer, London.10.1007/1-84628-493-7]Search in Google Scholar
[Blesa, J., Rotondo, D., Puig, V. and Nejjari, F. (2014). FDI and FTC of wind turbines using the interval observer approach and virtual actuators/sensors, Control Engineering Practice 24(1): 138-155.10.1016/j.conengprac.2013.11.018]Open DOISearch in Google Scholar
[Boulkroune, B., Djemili, I., Aitouche, A. and Cocquempot, V. (2013). Robust nonlinear observer design for actuator fault detection in diesel engines, International Journal of Applied Mathematics and Computer Science 23(3): 557-569, DOI: 10.2478/amcs-2013-0042.10.2478/amcs-2013-0042]Open DOISearch in Google Scholar
[Chen, W. and Saif, M. (2006). Fault detection and isolation based on novel unknown input observer design, Proceedings of the American Control Conference, Minnesota, MN, USA, pp. 245-250.]Search in Google Scholar
[Bianchi, F.D. and De Battista, R.J.M. (2007). Wind Turbine Control Systems: Principles, Modelling and Gain Scheduling Design, Springer, London.]Search in Google Scholar
[Georg, S. and Schulte, H. (2013). Actuator fault diagnosis and fault-tolerant control of wind turbines using a Takagi-Sugeno sliding mode observer, 2013 Conference on Control and Fault-Tolerant Systems (SysTol), Nice, France, pp. 516-522.10.1109/SysTol.2013.6693872]Search in Google Scholar
[Georg, S. and Schulte, H. (2014). Takagi-Sugeno sliding mode observer with a weighted switching action and application to fault diagnosis for wind turbines, in J. Korbicz and M. Kowal (Eds.), Intelligent Systems in Technical and Medical Diagnostics, Springer, Berlin, pp. 41-52.10.1007/978-3-642-39881-0_3]Search in Google Scholar
[Georges, J.-P., Theilliol, D., Cocquempot, V., Ponsart, J.-C. and Aubrun, C. (2011). Fault tolerance in networked control systems under intermittent observations, International Journal of Applied Mathematics and Computer Science 21(4): 639-648, DOI: 10.2478/v10006-011-0050-x.10.2478/v10006-011-0050-x]Open DOISearch in Google Scholar
[Hamdi, H., Rodrigues, M., Mechmeche, C., Theilliol, D. and Braiek, N.B. (2012). Fault detection and isolation in linear parameter-varying descriptor systems via proportional integral observer, International Journal of Adaptive Control & Signal Processing 26(3): 224240.10.1002/acs.1260]Search in Google Scholar
[Hassanabadi, A.H., Shafiee, M. and Puig, V. (2016). UIO design for singular delayed LPV systems with application to actuator fault detection and isolation, International Journal of Systems Science 47(1): 107-121.10.1080/00207721.2015.1029567]Open DOISearch in Google Scholar
[Jonkman, J., Butterfield, S., Musial, W. and Scott, G. (2009). Definition of a 5-MW reference wind turbine for offshore system development, Technical Report No. NREL/TP-500- 38060, National Renewable Energy Laboratory, Golden, CO.10.2172/947422]Search in Google Scholar
[Kamal, E. and Aitouche, A. (2013). Robust fault tolerant control of DFIG wind energy systems with unknown inputs, Renewable Energy 56(4): 2-15.10.1016/j.renene.2012.10.024]Open DOISearch in Google Scholar
[Kamal, E., Aitouche, A., Ghorbani, R. and Bayart, M. (2012). Robust fuzzy fault-tolerant control of wind energy conversion systems subject to sensor faults, IEEE Transactions on Sustainable Energy 3(2): 231-241.10.1109/TSTE.2011.2178105]Search in Google Scholar
[Kamal, E., Aitouche, A., Ghorbani, R. and Bayart, M. (2014). Fuzzy scheduler fault-tolerant control for wind energy conversion systems, IEEE Transactions on Control Systems Technology 22(1): 119-131.10.1109/TCST.2013.2246162]Open DOISearch in Google Scholar
[Khare, V., Nema, S. and Baredar, P. (2016). Solar-wind hybrid renewable energy system: A review, Renewable and Sustainable Energy Reviews 58: 23-33.10.1016/j.rser.2015.12.223]Search in Google Scholar
[Lofberg, J. (2004). YALMIP: A toolbox for modeling and optimization inMatlab, CACSD Conference, New Orleans, LA, USA, pp. 287-92.]Search in Google Scholar
[Odgaard, P.F., Stoustrup, J. and Kinnaert, M. (2009). Fault tolerant control of wind turbines-A benchmark model, IFAC Proceedings Volumes 42(8): 155-160.10.3182/20090630-4-ES-2003.00026]Search in Google Scholar
[Odgaard, P.F., Stoustrup, J. and Kinnaert, M. (2013). Fault-tolerant control of wind turbines: A benchmark model, IEEE Transactions on Control Systems Technology 21(4): 1168-1182.10.1109/TCST.2013.2259235]Open DOISearch in Google Scholar
[Shi, F. and Patton, R. (2015). An active fault tolerant control approach to an offshore wind turbine model, Renewable Energy 75(C): 788-798.10.1016/j.renene.2014.10.061]Search in Google Scholar
[Simani, S. and Castaldi, P. (2012). Data-driven design of fuzzy logic fault tolerant control for a wind turbine benchmark, IFAC Proceedings Volumes 45(20): 108-113.10.3182/20120829-3-MX-2028.00036]Search in Google Scholar
[Simani, S. and Castaldi, P. (2014). Active actuator fault-tolerant control of a wind turbine benchmark model, International Journal of Robust and Nonlinear Control 24(8-9): 1283-1303.10.1002/rnc.2993]Search in Google Scholar
[Simani, S., Farsoni, S. and Castaldi, P. (2013). Robust actuator fault diagnosis of a wind turbine benchmark model, 2013 IEEE 52nd Annual Conference on Decision and Control (CDC), Florence, Italy, pp. 4422-4427.10.1109/CDC.2013.6760570]Search in Google Scholar
[Simani, S., Farsoni, S. and Castaldi, P. (2015). Fault diagnosis of a wind turbine benchmark via identified fuzzy models, IEEE Transactions on Industrial Electronics 62(6): 3775-3782.10.1109/TIE.2014.2364548]Search in Google Scholar
[Sloth, C., Esbensen, T. and Stoustrup, J. (2011). Robust and fault-tolerant linear parameter-varying control of wind turbines, Mechatronics 21(4): 645-659.10.1016/j.mechatronics.2011.02.001]Open DOISearch in Google Scholar
[Zhang, K., Jiang, B., Cocquempot, V. (2008). Adaptive observer-based fast fault estimation, International Journal of Control Automation and Systems 6(3): 320.]Search in Google Scholar