A new fault detection observer scheme for T-S fuzzy systems with unmeasurable variables
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[1] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[2] Paul M. Frank,et al. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..
[3] Jie Chen,et al. Robust Model-Based Fault Diagnosis for Dynamic Systems , 1998, The International Series on Asian Studies in Computer and Information Science.
[4] Kazuo Tanaka,et al. Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach , 2008 .
[5] Chee Pin Tan,et al. Sliding mode observers for fault detection and isolation , 2002 .
[6] James Lam,et al. An LMI approach to design robust fault detection filter for uncertain LTI systems , 2003, Autom..
[7] Raghunathan Rengaswamy,et al. A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..
[8] Raghunathan Rengaswamy,et al. A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies , 2003, Comput. Chem. Eng..
[9] Alessandro Casavola,et al. Robust fault detection of uncertain linear systems via quasi-LMIs , 2005, Proceedings of the 2005, American Control Conference, 2005..
[10] Rolf Isermann,et al. Model-based fault-detection and diagnosis - status and applications , 2004, Annu. Rev. Control..
[11] I. Jaimoukha,et al. Amatrix factorization solution to the H − / H ∞ fault detection problem , 2006 .
[12] Imad M. Jaimoukha,et al. A matrix factorization solution to the I fault detection problem , 2006, Autom..
[13] Jian Liu,et al. An LMI approach to h_ index and mixed h_ /h∞ fault detection observer design , 2007 .
[14] Jian Liu,et al. An LMI approach to H_ index and mixed H_/Hinfinit fault detection observer design , 2007, Autom..
[15] Steven X. Ding,et al. Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools , 2008 .
[16] Heng Wang,et al. A finite frequency domain approach to fault detection for linear discrete-time systems , 2008, Int. J. Control.
[17] Jun Yoneyama,et al. Hinfinity filtering for fuzzy systems with immeasurable premise variables: An uncertain system approach , 2009, Fuzzy Sets Syst..
[18] Didier Maquin,et al. An approach for the state estimation of Takagi-Sugeno models and application to sensor fault diagnosis , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[19] B. Marx,et al. Brief paper: state estimation of Takagi-Sugeno systems with unmeasurable premise variables , 2010 .
[20] Guang-Hong Yang,et al. Fault detection for linear stochastic systems with sensor stuck faults , 2012 .
[21] M. T. Khadir,et al. Robust fault tolerant tracking controller design for unknown inputs T–S models with unmeasurable premise variables , 2012 .
[22] Guang-Hong Yang,et al. Fault Detection for T–S Fuzzy Systems With Unknown Membership Functions , 2014, IEEE Transactions on Fuzzy Systems.
[23] Hamid Reza Karimi,et al. New approach to delay-dependent H∞ control for continuous-time Markovian jump systems with time-varying delay and deficient transition descriptions , 2015, J. Frankl. Inst..
[24] H. Karimi,et al. Discrete‐time H − ∕ H ∞ sensor fault detection observer design for nonlinear systems with parameter uncertainty , 2015 .
[25] Guang-Hong Yang,et al. Reliable State Feedback Control of T–S Fuzzy Systems With Sensor Faults , 2015, IEEE Transactions on Fuzzy Systems.
[26] Jianbin Qiu,et al. A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control , 2016, IEEE Transactions on Neural Networks and Learning Systems.