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109. Frank PM (1990) Fault diagnosis in dynamic systems using analytical and knowledge-based
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110. Gertler J (1997) Fault detection and isolation using parity relations. Control Eng Pract
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113. Beard RV (1971) Failure accommodation in linear systems through self-reorganization. Institute of Technology, Massachusetts, USA
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116. Nguang SK, Shi P, Ding S (2007) Fault detection for uncertain fuzzy systems: an LMI
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Circuits Syst Signal Process 23(5):387–407
121. Zhong M, Ye H, Shi P, Wang G (2005) Fault detection for Markovian jump systems. IEE Proc
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122. He S, Liu F (2009) Fuzzy model-based fault detection for Markov jump systems. Int J Robust
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123. Luan X, He S, Liu F (2009) Neural network-based robust fault detection for nonlinear jump
systems. Chaos, Solitons Fractals 42(2):760–766
124. He S, Liu F (2011) Filtering-based robust fault detection of fuzzy jump systems. Fuzzy Sets
Syst 185(1):95–110
125. Wang J, He S, Luan X, Liu F (2020) Fuzzy fault detection of conic-type nonlinear systems
within the finite frequency domain. Appl Math Comput 378:125181
126. He S (2018) Fault detection filter design for a class of nonlinear Markovian jumping systems
with mode-dependent time-varying delays. Nonlinear Dynam 91(3):1871–1884
127. Cheng P, Wang J, He S, Luan X, Liu F (2020) Observer-based asynchronous fault detection
for conic-type nonlinear jumping systems and its application to separately excited DC motor.
IEEE Trans Circuits Syst I: Regul Pap 67(3):951–962
128. He S, Liu F (2016) Resilient fault detection observer design of fuzzy Markovian jumping systems with mode-dependent time-varying delays. J Frankl Inst: Eng Appl Math 353(13):2943–
2965
129. Wu L, Luo W, Zeng Y, Li F, Zhegn Z (2016) Fault detection for underactuated manipulators
modeled by Markovian jump systems. IEEE Trans Ind Electron 63(7):4387–4399
130. Li F, Shi P, Lin CC, Wu L (2018) Fault Detection filtering for nonhomogeneous Markovian
jump systems via a fuzzy approach. IEEE Trans Fuzzy Syst 26(1):131–141
131. Zhang L, Lam HK, Sun H, Liang H (2020) Fault detection for fuzzy semi-Markov jump
systems based on interval type-2 fuzzy approach. IEEE Trans Fuzzy Syst 28(10):2375–2388
132. Wang H, Wang C, Gao H (2006) Robust fault detection for discrete Markov jump systems
with time delay. Control Decis 21(7):196–200
References
108. Lyu X, Ai Q, Yan Z, He S, Luan X, Liu F (2020) Finite-time asynchronous resilient observer
design of a class of nonlinear switched systems with time-delays and uncertainties. IET
Control Theory Appl 14(7):952–963
109. Frank PM (1990) Fault diagnosis in dynamic systems using analytical and knowledge-based
redundancy-a survey and some new results. Automatica 26(3):459–474
110. Gertler J (1997) Fault detection and isolation using parity relations. Control Eng Pract
5(5):653–661
111. Frank PM (1996) Analytical and qualitative model-based fault diagnosis-a survey and some
new results. Eur J Control 2(1):6–28
112. Daubechies I (1990) The wavelets transform, time-frequency localization and signal analysis.
IEEE Trans Inf Theory 36(5):961–1005
113. Beard RV (1971) Failure accommodation in linear systems through self-reorganization. Institute of Technology, Massachusetts, USA
114. Mehra RK, Peschon J (1971) An innovations approach to fault detection and diagnosis in
dynamic systems. Automatica 7(5):637–640
115. Hammouri H, Kinnaert M, El Yanngoubi EH (1999) Observer-based approach to fault detection and isolation for nonlinear systems. IEEE Trans Autom Control 44(10):1879–1884
116. Nguang SK, Shi P, Ding S (2007) Fault detection for uncertain fuzzy systems: an LMI
approach. IEEE Trans Fuzzy Syst 15(6):1251–1262
117. Tarantino R, Szigeti F, Colina-Morles E (2000) Generalized Luenberger observer-based fault
detection filter design: an industrial application. Control Eng Pract 8(6):665–671
118. Wang J, Yang G, Liu J (2007) An LMI approach to H − index and mixed H − /H ∞ fault
detection observer design. Automatica 43(9):1656–1665
119. Zhong M, Ding SX, Lam J, Wang B (2003) An LMI approach to design robust fault detection
filter for uncertain LTI systems. Automatica 39(3):543–550
120. Zhong M, Lam J, Steven XD (2004) Robust fault detection of Markovian jump systems.
Circuits Syst Signal Process 23(5):387–407
121. Zhong M, Ye H, Shi P, Wang G (2005) Fault detection for Markovian jump systems. IEE Proc
Control Theory Appl 152(4):397–402
122. He S, Liu F (2009) Fuzzy model-based fault detection for Markov jump systems. Int J Robust
Nonlinear Control 19(10):1248–1266
123. Luan X, He S, Liu F (2009) Neural network-based robust fault detection for nonlinear jump
systems. Chaos, Solitons Fractals 42(2):760–766
124. He S, Liu F (2011) Filtering-based robust fault detection of fuzzy jump systems. Fuzzy Sets
Syst 185(1):95–110
125. Wang J, He S, Luan X, Liu F (2020) Fuzzy fault detection of conic-type nonlinear systems
within the finite frequency domain. Appl Math Comput 378:125181
126. He S (2018) Fault detection filter design for a class of nonlinear Markovian jumping systems
with mode-dependent time-varying delays. Nonlinear Dynam 91(3):1871–1884
127. Cheng P, Wang J, He S, Luan X, Liu F (2020) Observer-based asynchronous fault detection
for conic-type nonlinear jumping systems and its application to separately excited DC motor.
IEEE Trans Circuits Syst I: Regul Pap 67(3):951–962
128. He S, Liu F (2016) Resilient fault detection observer design of fuzzy Markovian jumping systems with mode-dependent time-varying delays. J Frankl Inst: Eng Appl Math 353(13):2943–
2965
129. Wu L, Luo W, Zeng Y, Li F, Zhegn Z (2016) Fault detection for underactuated manipulators
modeled by Markovian jump systems. IEEE Trans Ind Electron 63(7):4387–4399
130. Li F, Shi P, Lin CC, Wu L (2018) Fault Detection filtering for nonhomogeneous Markovian
jump systems via a fuzzy approach. IEEE Trans Fuzzy Syst 26(1):131–141
131. Zhang L, Lam HK, Sun H, Liang H (2020) Fault detection for fuzzy semi-Markov jump
systems based on interval type-2 fuzzy approach. IEEE Trans Fuzzy Syst 28(10):2375–2388
132. Wang H, Wang C, Gao H (2006) Robust fault detection for discrete Markov jump systems
with time delay. Control Decis 21(7):196–200