Details Details PDF BIBTEX RIS Title Active fault-tolerant control design for Takagi-Sugeno fuzzy systems Journal title Bulletin of the Polish Academy of Sciences Technical Sciences Yearbook 2011 Volume 59 Issue No 1 Authors Dziekan, Ł. ; Witczak, M. ; Korbicz, J. Divisions of PAS Nauki Techniczne Coverage 93-102 Date 2011 Identifier DOI: 10.2478/v10175-011-0013-2 ; ISSN 2300-1917 Source Bulletin of the Polish Academy of Sciences: Technical Sciences; 2011; 59; No 1; 93-102 References Blanke M. (2003), Diagnosis and Fault-Tolerant Control. ; Korbicz J. (2004), Fault Diagnosis. Models, Artificial Intelligence, Applications. ; Witczak M. (2007), Modelling and Estimation Strategies for Fault Diagnosis of Non-linear Systems. ; Delebecque F. (2003), Test signal design for failure detection: A linear programming approach, Int. J. Applied Mathematics and Computer Science, 13, 4, 515. ; Zhang Y. (2003), Bibliographical review on reconfigurable fault-tolerant control systems, Proc. IFAC Safeprocess Washington, 1, 65. ; Chen J. (1998), An LMI approach to faulttolerant control of uncertain systems, Proc. IEEE Conf. on Decision and Control, 1, 175. ; Liang Y. (2000), Reliable control of nonlinear systems, IEEE Trans. Automatic Control, 45, 706, doi.org/10.1109/9.847106 ; Liao F. (2002), Reliable robust flight tracking control: an lmi approach, IEEE Trans. Control Syst. Techn, 10, 76, doi.org/10.1109/87.974340 ; Qu Z. (2003), Robust fault-tolerant self-recovering control of nonlinear uncertain systems, Automatica, 39, 1763, doi.org/10.1016/S0005-1098(03)00181-X ; Li H. (2007), Reliability modeling of fault tolerant control systems, Int. J. Applied Mathematics and Computer Science, 17, 4, 491, doi.org/10.2478/v10006-007-0041-0 ; Witczak M. (2006), Advances in model-based fault diagnosis with evolutionary algorithms and neural networks, Int. J. Applied Mathematics and Computer Science, 16, 1, 85. ; Kanev S. (2002), Reconfigurable robust fault-tolerant control and state estimation, null, 1. ; Maciejowski J. (2002), Predictive Control with Constraints. ; Lunze J. (2006), Control reconfiguration after actuator failures using disturbance decoupling methods, IEEE Trans. on Automatic Control, 51, 10, 1590, doi.org/10.1109/TAC.2006.882938 ; Richter J. (2009), H-infinity-based virtual actuator synthesis for optimal trajectory recovery, null, 1, 1587. ; Richter J. (2009), Decoupling-based reconfigurable control of linear systems after actuator faults, Proc. 10th Eur. Control Conf, 1, 2512. ; Witczak M. (2008), Design of a fault-tolerant control scheme for takagi-sugeno fuzzy systems, Control and Automation, 16th Mediterranean Conf, 1, 280, doi.org/10.1109/MED.2008.4602080 ; Rong Q. (2003), LMI-Based controller design for discrete polytopic LPV systems, null, 1. ; Takagi T. (1985), Fuzzy identification of systems and its application to modeling and control, IEEE Trans. Systems, Man and Cybernetics, 15, 1, 116. ; Tanaka K. (2001), Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach, doi.org/10.1002/0471224596 ; Hui S. (2005), Observer design for systems with unknown input, Int. J. Applied Mathematics and Computer Science, 15, 4, 431. ; Boyd S. (1994), Linear Matrix Inequalities in System and Control Theory, Studies in Applied Mathematics, 15. ; Rahideh A. (2007), Mathematical dynamic modelling of a twin-rotor multiple input-multiple output system, Proc. Institution of Mechanical Engineers, Part I, J. Systems and Control Engineering, 227, 89, doi.org/10.1243/09596518JSCE292 ; Feedback Instruments Limited, Crowborough, <i>Twin Rotor Mimo System Advanced Teaching Manual</i> 1, London, 1998. ; S. Montes de Oca (2008), Fault-tolerant control of a two-degree of freedom helicopter using LPV techniques, null, 1, 1204. ; Franklin G. (2002), Feedback Control of Dynamic Systems.