Robust unknown input observer for state and fault estimation in discrete-time Takagi–Sugeno systems
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Damiano Rotondo | Vicenç Puig | Fatiha Nejjari | Marcin Witczak | Marcin Pazera | D. Rotondo | M. Witczak | V. Puig | F. Nejjari | M. Pazera
[1] P. Dorato,et al. Observing the states of systems with unmeasurable disturbances , 1975 .
[2] Guillaume Ducard,et al. Fault-tolerant Flight Control and Guidance Systems , 2009 .
[3] Bogdan M. Wilamowski,et al. Compensation of Sensors Nonlinearity with Neural Networks , 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.
[4] J. Geromel,et al. A new discrete-time robust stability condition , 1999 .
[5] Kazuo Tanaka,et al. An approach to fuzzy control of nonlinear systems: stability and design issues , 1996, IEEE Trans. Fuzzy Syst..
[6] Mohammed Chadli,et al. An LMI approach to design observer for unknown inputs Takagi‐Sugeno fuzzy models , 2010 .
[7] Damiano Rotondo,et al. An LMI approach to robust fault estimation for a class of nonlinear systems , 2016 .
[8] Didier Theilliol,et al. Fault-tolerant Control Systems: Design and Practical Applications , 2009 .
[9] Pierre Apkarian,et al. Parameterized linear matrix inequality techniques in fuzzy control system design , 2001, IEEE Trans. Fuzzy Syst..
[10] Minyue Fu,et al. A linear matrix inequality approach to robust H∞ filtering , 1997, IEEE Trans. Signal Process..
[11] Inseok Hwang,et al. A Survey of Fault Detection, Isolation, and Reconfiguration Methods , 2010, IEEE Transactions on Control Systems Technology.
[12] Dong Yue,et al. A Note on Observers for Discrete-Time Lipschitz Nonlinear Systems , 2012, IEEE Transactions on Circuits and Systems II: Express Briefs.
[13] Guillaume Mercère,et al. A local approach framework for black-box and gray-box LPV system identification , 2013, 2013 European Control Conference (ECC).
[14] Guillaume Ducard,et al. Fault-tolerant Flight Control and Guidance Systems: Practical Methods for Small Unmanned Aerial Vehicles , 2009 .
[15] Mohammed Chadli,et al. State and unknown input estimation for discrete time multiple model , 2009, J. Frankl. Inst..
[16] Ahmed El Hajjaji,et al. Estimation of state, actuator and sensor faults for T-S models , 2010, 49th IEEE Conference on Decision and Control (CDC).
[17] Zhang Ying-chun,et al. Robust nonlinear unknown input observer-based fault diagnosis for satellite attitude control system , 2011, 2011 2nd International Conference on Intelligent Control and Information Processing.
[18] G. Feng,et al. A Survey on Analysis and Design of Model-Based Fuzzy Control Systems , 2006, IEEE Transactions on Fuzzy Systems.
[19] Youmin Zhang,et al. Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..
[20] Tushar Jain,et al. Active Fault-Tolerant Control Systems: A Behavioral System Theoretic Perspective , 2017 .
[21] Damiano Rotondo,et al. A practical test for assessing the reachability of discrete-time Takagi-Sugeno fuzzy systems , 2015, J. Frankl. Inst..
[22] ShiPeng,et al. A New Approach to Observer-Based Fault-Tolerant Controller Design for Takagi-Sugeno Fuzzy Systems with State Delay , 2009 .
[23] Damiano Rotondo,et al. Automated generation and comparison of Takagi-Sugeno and polytopic quasi-LPV models , 2015, Fuzzy Sets Syst..
[24] Marcin Witczak. Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches , 2007 .
[25] Ali Zemouche,et al. Observers for a class of Lipschitz systems with extension to Hinfinity performance analysis , 2008, Syst. Control. Lett..
[26] Bart De Moor,et al. Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough , 2007, Autom..
[27] Marios M. Polycarpou,et al. Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation , 2010, Autom..
[28] 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.
[29] Ludwig Elsner,et al. Convex combinations of matrices-nonsingularity and schur stability characterizations , 1998 .
[30] Tomasz Szulc,et al. Convex combinations of matrices — Full rank characterization , 1999 .
[31] Peng Shi,et al. A New Approach to Observer-Based Fault-Tolerant Controller Design for Takagi-Sugeno Fuzzy Systems with State Delay , 2009, Circuits Syst. Signal Process..
[32] Charles R. Johnson,et al. Convex sets of nonsingular and P:–Matrices , 1995 .
[33] Robert Shorten,et al. On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models , 2000, IEEE Trans. Fuzzy Syst..
[34] Masoud Abbaszadeh,et al. LMI optimization approach to robust H∞ observer design and static output feedback stabilization for discrete‐time nonlinear uncertain systems , 2009 .
[35] Peng Shi,et al. Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model , 2012, Int. J. Appl. Math. Comput. Sci..
[36] B. Marx,et al. Brief paper: state estimation of Takagi-Sugeno systems with unmeasurable premise variables , 2010 .
[37] M. Saif,et al. Design of a TS Based Fuzzy Nonlinear Unknown Input Observer with Fault Diagnosis Applications , 2007, 2007 American Control Conference.
[38] Damiano Rotondo,et al. Adaptive Observer for Switching Linear Parameter-Varying (LPV) Systems , 2014 .
[39] Charles R. Johnson,et al. CONVEX SETS OF NONSINGULAR AND P – MATRICES ( Linear and Multilinear Algebra , 2000 .
[40] Kazuo Tanaka,et al. Fuzzy control systems design and analysis , 2001 .
[41] David Henry,et al. A class of nonlinear unknown input observer for fault diagnosis: Application to fault tolerant control of an autonomous spacecraft , 2014, 2014 UKACC International Conference on Control (CONTROL).
[42] Ludwig Elsner,et al. Convex sets of schur stable and stable matrices , 2000 .
[43] Mehrdad Saif,et al. Fuzzy Nonlinear Unknown Input Observer Design with Fault Diagnosis Applications , 2010 .
[44] Marcin Witczak,et al. Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems , 2014 .
[45] Anis Sellami,et al. An H∞ sliding mode observer for Takagi–Sugeno nonlinear systems with simultaneous actuator and sensor faults An , 2015, Int. J. Appl. Math. Comput. Sci..
[46] Thierry-Marie Guerra,et al. Discrete Tagaki-Sugeno models for control: Where are we? , 2009, Annu. Rev. Control..
[47] Hamid Reza Karimi,et al. Robust Observer Design for Unknown Inputs Takagi–Sugeno Models , 2013, IEEE Transactions on Fuzzy Systems.
[48] M. Darouach,et al. Two-stage Kalman estimator with unknown exogenous inputs , 1999, Autom..
[49] Enrico Zio,et al. Monte Carlo simulation for model-based fault diagnosis in dynamic systems , 2009, Reliab. Eng. Syst. Saf..
[50] T. Szulc,et al. On Some Properties of Convex Matrix Sets Characterized by P -Matrices and Block P -Matrices , 2002 .
[51] Hoda Moodi,et al. Robust observer design for Sugeno systems with incremental quadratic nonlinearity in the consequent , 2013, Int. J. Appl. Math. Comput. Sci..
[52] Vicenç Puig,et al. Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies , 2010, Int. J. Appl. Math. Comput. Sci..
[53] Ian Postlethwaite,et al. Survey and application of sensor fault detection and isolation schemes , 2011 .
[54] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.