Rolf Isermann, Model-based fault-detection, and diagnosis status and applications, Annual Reviews in Control, Volume 29, Issue 1,2005, Pages 71-85, ISSN 1367-5788,
 X. Yu, J. Jiang, A survey of fault-tolerant controllers based on safety-related issues, Annual Reviews in Control 39 (2015) 46–57.
 Said, M., Abdellafou, K.b. & Taouali, O. Machine learning technique for data-driven fault detection of nonlinear processes. J Intell Manuf 31, 865–884 (2020).
 S. Anwar, W. Niu, A nonlinear observer-based analytical redundancy for predictive fault- tolerant control of a steer-by-wire system, Asian Journal of Control 16 (2) (2014) 321–334.
 Belsak, A., Flasker, J. (2008). Vibration analysis to determine the condition of gear units. Strojniški Vestnik - Journal of Mechanical Engineering, vol. 54, no. 1, p. 11-24
 Capozzoli, A., F. Lauro, and I. Khan. 2015. “Fault Detection Analysis Using Data MiningTechniques for a Cluster of Smart Office Buildings.” Expert Systems with Applications. 42:4324–4338.
 Bouallègue,W.; Bouslama Bouabdallah, S.; Tagina, M. Causal approaches and fuzzy logic in FDI of Bond Graph uncertain parameters systems. In Proceedings of the IEEE International Conference on Communications, Computing and Control Applications (CCCA), Hammamet, Tunisia, 3–5 March 2011
 Thirumarimurugan, M.; Bagyalakshmi, N.; Paarkavi, P. Comparison of fault detection and isolation methods: A review. In Proceedings of the 2016 10th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, India, 7–8 January 2016.
 Li, Xifeng & Xie, Yongle & Bi, Dongjie & Ao, Yongcai. (2013). Kalman Filter-Based Method for Fault Diagnosis of Analog Circuits. Metrology and Measurement Systems. 20. 10.2478/mms-2013-0027.
 Skliros, C., Esperon Miguez, M., Fakhre, A., Jennions, I. (2019). A review of model-based and data-driven methods targeting hardware systems diagnostics. Diagnostyka, 20(1), 3-21. https://doi.org/10.29354/diag/99603
 Geliel, Mostafa & Zakzouk, Sherief & Sengaby, M.. (2012). Application of model-based fault detection for an industrial boiler. 2012 20th Mediterranean Conference on Control and Automation, MED 2012 - Conference Proceedings. 98-103. 10.1109/MED.2012.6265621.
 E. Khalastchi and M. Kalech. A sensor-based approach for fault detection and diagnosis for robotic systems. Autonomous Robots, 42(6):1231–1248, Aug. 2018.
 Patton, R.; Uppal, F.; Simani, S.; Polle, B. Robust FDI applied to thruster faults of a satellite system. Control Eng. Pract. 2010, 18, 1093–1109.
 Falcoz, A.; Henry, D.; Zolghadri, A. Robust Fault Diagnosis for Atmospheric Reentry Vehicles: A Case Study. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 2010, 40, 886–899.
 R. Isermann. Fault-Diagnosis Systems, An Introduction from Fault Detection to Fault Tolerance. Springer-Verlag, Berlin Heidelberg, 2006
 L. Ni.Fault-Tolerant Control of Unmanned Underwater Vehicles.PhDthesis, VA Tech. Univ., Blacksburg, VA, 2001.
 M. Azam, K. Pattipati, J. Allanach, S. Poll, and A. Petterson-Hine. In-Flight Fault Detection and Isolation in Aircraft Flight Control Systems. In Proceedings of IEEE Aerospace Conference, 2005. Paper 1429.
 G. Ducard and H. P. Geering, "A reconfigurable flight control system based on the EMMAE method," 2006 American Control Conference, Minneapolis, MN, 2006, pp. 6 pp.-, DOI: 10.1109/ACC.2006.1657599.
 Ducard, G.. (2009). Fault-tolerant Flight Control and Guidance Systems: Practical Methods for Small Unmanned Aerial Vehicles. 10.1007/978-1-84882-561-1.
 M.S. Grewall, A.P.Andrews. Kalman Filtering. Theory and Practice. Prentice-Hall, 1993
 MarcelSidi, “SpacecraftDynamics &Control, “ Cambridge university press, 1997
 R. Cowen, “The wheels come off Kepler,” Nature, vol. 497, no. 7450, pp. 417–418, May2013.
 Ghasem Sharifi & Ehsan Zabihian (2020) An effective approach to identify the mass properties of a satellite attitude dynamics simulator, Australian Journal of Mechanical Engineering, 18:3, 245254, DOI: 10.1080/14484846.2018.1458811
 A. Mohammad and S. M. B. Billah, "Analysis of speed control of series DC motor using diverter and observation of speed saturation point," 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), Dhaka, 2015, pp. 1-4, DOI: 10.1109/ICEEICT.2015.7307350.
 A. Adouni, A. Abid and L. Sbita, "A DC motor fault detection, isolation and identification based on a new architecture Artificial Neural Network," 2016 5th International Conference on Systems and Control (ICSC), Marrakesh, 2016, pp. 294-299, DOI: 10.1109/ICoSC.2016.7507054.