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References
J. Korbicz, J. Kościelny, Z. Kowalczuk, W. Cholewa (eds.), Fault Diagnosis. Models, Artificial Intelligence, Applications (Springer-Verlag, Berlin, 2004)
M. Witczak, Modelling and Estimation Strategies for Fault Diagnosis of Non-linear Systems (Springer-Verlag, Berlin, 2007)
S.X. Ding, Model-Based Fault Diagnosis Techniques: Design Schemes. Algorithms and Tools (Springer-Verlag, Berlin, 2008)
V. Puig, Fault diagnosis and fault tolerant control using set-membership approaches: application to real case studies. Int. J. Appl. Math. Comput. Sci. 20(4), 619–635 (2010)
S. Tong, G. Yang, W. Zhang, Observer-based fault-tolerant control againts sensor failures for fuzzy systems with time delays. Int. J. Appl. Math. Comput. Sci. 21(4), 617–628 (2011)
K. Kemir, F. Ben Hmida, J. Ragot, M. Gossa, Novel optimal recursive filter for state and fault estimation of linear systems with unknown disturbances. Int. J. Appl. Math. Comput. Sci. 21(4), 629–638 (2011)
P.M. Frank, T. Marcu, Diagnosis strategies and systems. principles, fuzzy and neural approaches, in Intelligent Systems and Interfaces, ed. by H.N. Teodorescu, D. Mlynek, A. Kandel, H.J. Zimmermann (Kluwer Academic Publishers, Boston, 2000)
S.H. Wang, E.J. Davison, P. Dorato, Observing the states of systems with unmeasurable disturbances. IEEE Trans. Autom. Control 20(5), 716–717 (1975)
H. Hammouri, P. Kabore, S. Othman, J. Biston, Failure diagnosis and nonlinear observer. Application to a hydraulic process. J. Franklin Inst. 339(4–5), 455–478 (2002)
H. Hammouri, P. Kabore, S. Othman, J. Biston, Observer-based approach to fault detection and isolation for nonlinear systems. IEEE Trans. Autom. Control 44(10), 1879–1884 (1999)
R. Kabore, H. Wang, Design of fault diagnosis filters and fault tolerant control for a class of nonlinear systems. IEEE Trans. Autom. Control 46(11), 1805–1809 (2001)
W. Chen, A.Q. Khan, M. Abid, S.X. Ding, Integrated design of observer-based fault detection for a class of uncertain non-linear systems. Int. J. Appl. Math. Comput. Sci. 21(4), 619–636 (2011)
D. Koenig, S. Mammar, Design of a class of reduced unknown inputs non-linear observer for fault diagnosis, in Proceedings of American Control Conference, ACC, Arlington, USA, 2002
A.M. Pertew, H.J. Marquez, Q. Zhao, \({\cal H}_{\infty }\) synthesis of unknown input observers for non-linear lipschitz systems. Int. J. Control 78(15), 1155–1165 (2005)
J. Chen, R.J. Patton, Robust Model Based Fault Diagnosis for Dynamic Systems (Kluwer Academic Publishers, London, 1999)
S.J. Julier, J.K. Uhlmann, Unscented filtering and estimation. Proc. IEEE 92(3), 401–422 (2004)
R. Kandepu, B. Foss, L. Imsland, Applying the unscented Kalman filter for nonlinear state estimation. J. Process Control 18(7–8), 753–768 (2008)
M. Witczak, P. Pretki, Design of an extended unknown input observer with stochastic robustness techniques and evolutionary algorithms. Int. J. Control 80(5), 749–762 (2007)
F.J. Uppal, R.J. Patton, M. Witczak, A neuro-fuzzy multiple-model observer approach to robust fault diagnosis based on the \(\text{ DAMADICS }\) benchmark problem. Control Eng. Pract. 14(6), 699–717 (2006)
M. Witczak, J. Korbicz, R. Jozefowicz, Design of unknown input observers for non-linear stochastic systems and their application to robust fault diagnosis. Control Cybern. 42(1), 227–256 (2013)
M. Witczak, P. Pretki, J. Korbicz, Design and convergence analysis of first- and second-order extended unknown input observers, in Methods and Models in Automation and Robotics—MMAR 2007: Proceedings of the 13th IEEE/IFAC International Conference, Szczecin, Poland, 2007, pp. 833–838 (CD-ROM)
M. Boutayeb, D. Aubry, A strong tracking extended Kalman observer for nonlinear discrete-time systems. IEEE Trans. Autom. Control 44(8), 1550–1556 (1999)
L.Z. Guo, Q.M. Zhu, A fast convergent extended Kalman observer for non-linear discrete-time systems. Int. J. Syst. Sci. 33(13), 1051–1058 (2002)
G. Ducard, Fault-tolerant Flight Control and Guidance Systems: Practical Methods for Small Unmanned Aerial Vehicles (Springer-Verlag, Berlin, 2009)
R. Iserman, Fault Diagnosis Applications: Model Based Condition Monitoring, Actuators, Drives, Machinery, Plants, Sensors, and Fault-Tolerant Systems (Springer-Verlag, Berlin, 2011)
M. Mahmoud, J. Jiang, Y. Zhang, Active Fault Tolerant Control Systems: Stochastic Analysis and Synthesis (Springer-Verlag, Berlin, 2003)
H. Noura, D. Theilliol, J. Ponsart, A. Chamseddine, Fault-Tolerant Control Systems: Design and Practical Applications (Springer-Verlag, Berlin, 2003)
E. Walter, L. Pronzato, Identification of Parametric Models from Experimental Data (Springer, London, 1996)
H.A.P. Blom, Y. Bar-Shalom, The interacting multiple model algorithm for systems with markovian switching coefficients. IEEE Trans. Autom. Control 33(8), 780–783 (1988)
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Witczak, M. (2014). Unknown Input Observers and Filters. In: Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems. Lecture Notes in Electrical Engineering, vol 266. Springer, Cham. https://doi.org/10.1007/978-3-319-03014-2_2
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