[1] H. Alwi and C. Edwards: Fault tolerant control using sliding modes with on-line control allocation. Automatica, 44 (2008), 1859–1866, DOI: 10.1016/j.automatica.2007.10.034.
[2] H. Alwi, C. Edwards, and C. Tan: Sliding mode estimation schemes for incipient sensor faults. Automatica, 45 (2009), 1679–1685, DOI: 10.1016/j.automatica.2009.02.031.
[3] F. Bejarano, L. Fridman, and A. Pozhyak: Unknown input and state estimation for unobservable systems. SIAM J. Control and Optimization, 48 (2009), 1155–1178. DOI: 10.1137/070700322.
[4] F. Bejarano and L. Fridman: High-order sliding mode observer for linear systems with unbounded unknown inputs. Int. J. Control, 83 (2010), 1920– 1929, DOI: 10.1080/00207179.2010.501386.
[5] M. Blanke, M. Kinnaert, J. Lunze, and M. Staroswiecki: Diagnosis and Fault-Tolerant Control. Berlin: Springer-Verlag, 2006.
[6] A. Brahim, S. Dhahri, F. Hmida, and A. Sellami: Simultaneous actuator and sensor faults reconstruction based on robust sliding mode observer for a class of nonlinear systems. Asian J. Control, 19 (2017), 362–371, DOI: 10.1002/asjc.1359.
[7] J. Chan, C. Tan, and H. Trinh: Robust fault reconstruction for a class of infinitely unobservable descriptor systems. Int. J. Systems Science, (2017), 1–10. DOI: 10.1080/00207721.2017.1280552.
[8] L. Chen, C. Edwards, H. Alwi, and M. Sato: Flight evaluation of a sliding mode online control allocation scheme for fault tolerant control. Automatica, 144 (2020), DOI: 10.1016/j.automatica.2020.108829.
[9] M. Defoort, K. Veluvolu, J. Rath, and M. Djemai: Adaptive sensor and actuator fault estimation for a class of uncertain Lipschitz nonlinear systems. Int. J. Adaptive Control and Signal Processing, 30 (2016), 271–283, DOI: 10.1002/acs.2556.
[10] S. Ding: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems. London: Springer-Verlag, 2014.
[11] C. Edwards and S. Spurgeon: On the development of discontinuous observers . Int. J. Control, 59 (1994), 1211–1229, DOI: 10.1080/ 00207179408923128.
[12] C. Edwards, S. Spurgeon, and R. Patton: Sliding mode observers for fault detection and isolation. Automatica, 36 (2000), 541–553, DOI: 10.1016/S0005-1098(99)00177-6.
[13] C. Edwards, H. Alwi, and C. Tan: Sliding mode methods for fault detection and fault tolerant control with application to aerospace systems. Int. J. Applied Mathematics and Computer Science, 22 (2012), 109–124, DOI: 10.2478/v10006-012-0008-7.
[14] V. Filaretov, A. Zuev, A. Zhirabok, and A. Protcenko: Development of fault identification system for electric servo actuators of multilink manipulators using logic-dynamic approach. J. Control Science and Engineering, 2017 (2017), 1–8, DOI: 10.1155/2017/8168627.
[15] T. Floquet, C. Edwards, and S. Spurgeon: On sliding mode observers for systems with unknown inputs. Int. J. Adaptive Control and Signal Processing, 21 (2007), 638–65, DOI: 10.1002/acs.958.
[16] L. Fridman, A. Levant, and J. Davila: Observation of linear systems with unknown inputs via high-order sliding-modes. Int. J. Systems Science, 38 (2007), 773–791, DOI: 10.1080/00207720701409538.
[17] L. Fridman, Yu. Shtessel, C. Edwards, and X. Yan: High-order slidingmode observer for state estimation and input reconstruction in nonlinear systems. Int. J. Robust and Nonlinear Control, 18 (2008), 399–412, DOI: 10.1002/rnc.1198.
[18] R. Hmidi, A. Brahim, F. Hmida, and A. Sellami: Robust fault tolerant control design for nonlinear systems not satisfying matching and minimum phase conditions. Int. J. Control, Automation and Systems, 18 (2020), 1–14, DOI: 10.1007/s12555-019-0516-4.
[19] H. Rios, D. Efimov, J. Davila, T. Raissi, L. Fridman, and A. Zolghadri: Non-minimum phase switched systems: HOSM based fault detection and fault identification via Volterra integral equation. Int. J. Adaptive Control and Signal Processing, 28 (2014), 1372–1397, DOI: 10.1002/acs.2448.
[20] I. Samy, I. Postlethwaite, and D. Gu: Survey and application of sensor fault detection and isolation schemes. Control Engineering Practice, 19 (2011), 658–674, DOI: 10.1016/j.conengprac.2011.03.002.
[21] C. Tan and C. Edwards: Sliding mode observers for robust detection and reconstruction of actuator and sensor faults. Int. J. Robust Nonlinear Control, 13 (2003), 443–463, DOI: 10.1002/rnc.723.
[22] C. Tan and C. Edwards: Robust fault reconstruction using multiple sliding mode observers in cascade: development and design. Proc. 2009 American Control Conf., St. Louis, USA, (2009), DOI: 10.1109/ACC.2009.5160176.
[23] V. Utkin: Sliding Modes in Control Optimization, Berlin: Springer, 1992.
[24] X. Wang, C. Tan, and G. Zhou: A novel sliding mode observer for state and fault estimation in systems not satisfying matching and minimum phase conditions. Automatica, 79 (2017), 290–295, DOI: 10.1016/ j.automatica.2017.01.027.
[25] X. Yan and C. Edwards: Nonlinear robust fault reconstruction and estimation using a sliding modes observer. Automatica, 43 (2007), 1605–1614, DOI: 10.1016/j.automatica.2007.02.008.
[26] J. Yang, F. Zhu, and X. Sun: State estimation and simultaneous unknown input and measurement noise reconstruction based on associated observers. Int. J. Adaptive Control and Signal Processing, 27 (2013), 846–858, DOI: 10.1002/acs.2360.
[27] A. Zhirabok: Nonlinear parity relation: A logic-dynamic approach. Automation and Remote Control, 69 (2008), 1051-1064, DOI: 10.1134/ S0005117908060155.
[28] A. Zhirabok, A. Shumsky, and S. Pavlov: Diagnosis of linear dynamic systems by the nonparametric method. Automation and Remote Control, 78 (2017), 1173–1188, DOI: 10.1134/S0005117917070013.
[29] A. Zhirabok, A. Shumsky, S. Solyanik, and A. Suvorov: Fault detection in nonlinear systems via linear methods. Int. J. Applied Mathematics and Computer Science, 27 (2017), 261–272, DOI: 10.1515/amcs-2017-0019.
[30] A. Zhirabok, A. Zuev, and A. Shumsky: Methods of diagnosis in linear systems based on sliding mode observers. J. Computer and Systems Sciences Int., 58 (2019), 898–914, DOI: 10.1134/S1064230719040166.
[31] A. Zhirabok, A. Zuev, andV. Filaretov: Fault identification in underwater vehicle thrusters via sliding mode observers. Int. J. Applied Mathematics and Computer Science, 30 (2020), 679–688, DOI: 10.34768/amcs-2020-0050.