[
Baïkeche, H., Marx, B., Maquin, D., and Ragot, J. (2006). On parametric and nonparametric fault detection in linear closed-loop systems, 4th Workshop on Advanced Control and Diagnosis, Nancy, France, pp. 1–6.
]Search in Google Scholar
[
Borutzky, W. (2021). Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis, Springer, Cham.10.1007/978-3-030-60967-2
]Search in Google Scholar
[
Chen, W., Khan, A.Q., Abid, M., and Ding, S.X. (2011). Integrated design of observer based fault detection for a class of uncertain nonlinear systems, International Journal of Applied Mathematics and Computer Science 21(3): 423–430, DOI: 10.2478/v10006-011-0031-0.
]Open DOISearch in Google Scholar
[
Chiang, L.H., Russell, E.L., and Braatz, R.D. (2001). Fault Detection and Diagnosis in Industrial Systems, Springer, London.10.1007/978-1-4471-0347-9
]Search in Google Scholar
[
De Oliveira, M.C., Geromel, J.C., and Bernussou, J. (2002). Extended H2 and H∞ norm characterizations and controller parametrizations for discrete-time systems, International Journal of Control 75(9): 666–679.10.1080/00207170210140212
]Search in Google Scholar
[
Ding, S. (2021). Advanced Methods for Fault Diagnosis and Fault-tolerant Control, Springer, Cham.
]Search in Google Scholar
[
Doraiswami, R. and Cheded, L. (2012). Kalman filter for parametric fault detection. An internal model principle-based approach, IET Control Theory and Applications 6(5): 715–725.
]Search in Google Scholar
[
Döhler, M., Mevel, L., and Zhang, Q. (2016) Fault detection, isolation and quantification from Gaussian residuals with application to structural damage diagnosis, Annual Reviews in Control 42(C): 244–256.10.1016/j.arcontrol.2016.08.002
]Search in Google Scholar
[
Ellis, G. (2002). Observers in Control Systems: A Practical Guide, Academic Press, San Diego.
]Search in Google Scholar
[
Felicio, P.A.S.A. and Lourtie, P.M.G. (2006). Applicability of standard formulation parametric fault detection methods, 14th Mediterranean Conference on Control and Automation, Ancona, Italy, pp. 1–6.
]Search in Google Scholar
[
Ferdowsi, H., Jagannathan, S. (2011). Unified model-based fault diagnosis scheme for nonlinear discrete-time systems with additive and multiplicative faults, 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, USA, pp. 1570–1575.
]Search in Google Scholar
[
Filasová, A., Krokavec, D., and Liššinský, P. (2016). Conditions with D-stability circle area in design of observer-based fault estimation, Applied Mathematical Sciences 10(35): 1705–1717.10.12988/ams.2016.63112
]Search in Google Scholar
[
Gao, Z. (2015). Fault estimation and fault-tolerant control for discrete-time dynamic systems, IEEE Transactions on Industrial Electronics 62(4): 3874–3884.10.1109/TIE.2015.2417511
]Search in Google Scholar
[
Gao, C. and Duan, G. (2012). Robust adaptive fault estimation for a class of nonlinear systems subject to multiplicative faults, Circuits, Systems, and Signal Processing 31(6): 2035–2046.10.1007/s00034-012-9434-x
]Search in Google Scholar
[
Gershon, E., Shaked, U., and Yaesh, I. (2005). H∞ Control and Estimation of State-multiplicative Linear Systems, Springer, London.
]Search in Google Scholar
[
Gertler, J. (1998). Fault Detection and Diagnosis in Engineering Systems, CRC Press, Boca Raton.
]Search in Google Scholar
[
Gil, P., Santos, F., Palma, L., and Cardoso, A. (2015). Recursive subspace system identification for parametric fault detection in nonlinear systems, Applied Soft Computing 37(C): 444–455.10.1016/j.asoc.2015.08.036
]Search in Google Scholar
[
Hamdi, H., Rodrigues, M., Rabaoui, B., and Benhadj Braiek, N. (2021). A fault estimation and fault–tolerant control based sliding mode observer for LPV descriptor systems with time delay, International Journal of Applied Mathematics and Computer Science 31(2): 247–258, DOI: 10.34768/amcs-2021-0017.
]Open DOISearch in Google Scholar
[
Hogben, L. (2007), Handbook of Linear Algebra, Chapman & Hall/CRC, Boca Raton.
]Search in Google Scholar
[
Huang, L., Ren, H., Chai, Y., and Qu, J. (2021). A fault detection method based on stacking the SAE-SRBM for nonstationary and stationary hybrid processes, International Journal of Applied Mathematics and Computer Science 31(1): 29–43, DOI: 10.34768/amcs-2021-0003.
]Open DOISearch in Google Scholar
[
Khargonekar, P.P. and Petersen, I.R. (1990). Robust stabilization of uncertain linear systems: Quadratic stabilizability and H∞ control theory, IEEE Transactions on Automatic Control 35(3): 356–361.10.1109/9.50357
]Search in Google Scholar
[
Kim, K.S. and Rew, K.H. (2013). Reduced order disturbance observer for discrete-time linear systems, Automatica 49(4): 968–975.10.1016/j.automatica.2013.01.014
]Search in Google Scholar
[
Korovin, S.K. and Fomichev, V.V. (2009). State Observers for Linear Systems with Uncertainty, De Gruyter, Berlin.10.1515/9783110218138
]Search in Google Scholar
[
Krokavec, D. and Filasová, A. (2019a). H∞ norm principle in residual filter design for discrete-time linear positive systems, European Journal of Control 45: 17–29.10.1016/j.ejcon.2018.10.001
]Search in Google Scholar
[
Krokavec, D. and Filasová, A. (2019b). On fault detection for discrete-time linear state-multiplicative systems with uncorrelated multiplicative faults, 6th International Conference on Control, Decision and Information Technologies, Paris, France, pp. 894-899.10.1109/CoDIT.2019.8820338
]Search in Google Scholar
[
Krokavec, D. and Filasová, A. (2020). Detection of state-multiplicative faults in discrete-time linear systems, in A. Bartoszewicz et al. (Eds), Advances in Intelligent Systems and Computing, Springer, Cham, pp. 1424–1433.10.1007/978-3-030-50936-1_118
]Search in Google Scholar
[
Krokavec, D. and Filasová, A. (2021). Quadratic stabilization of linear uncertain positive discrete-time systems, Symmetry 13(9): 1–20.10.3390/sym13091725
]Search in Google Scholar
[
Luenberger, D.G. (1979). Introduction to Dynamic Systems: Theory, Models and Applications, Wiley, New York.
]Search in Google Scholar
[
Park, Y.J., Fan, S.K.S., and Hsu, C.Y. (2020). A review on fault detection and process diagnostics in industrial processes, Processes 8(9): 1–26.10.3390/pr8091123
]Search in Google Scholar
[
Sun, Z. and Yang, Z. (2014). Joint parametric fault diagnosis and state estimation using KF-ML method, IFAC Proceedings Volumes 47(3): 8293–8298.10.3182/20140824-6-ZA-1003.01899
]Search in Google Scholar
[
Wu, C., Qi, J., Song, D., Qi, X., and Han, J. (2015). Simultaneous state and parameter estimation based actuator fault detection and diagnosis for an unmanned helicopter, International Journal of Applied Mathematics and Computer Science 25(1): 175–187, DOI: 10.1515/amcs-2015-0013.
]Open DOISearch in Google Scholar
[
Zhong, M., Ma, C., and Ding, S.X. (2005). Design of parametric fault detection systems: An H-infinity optimization approach, Journal of Control Theory and Applications 2(1): 35–41.10.1007/s11768-005-0058-6
]Search in Google Scholar
