Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Dynamic parallel distributed compensation for Takagi-Sugeno fuzzy systems: An LMI approach
Information Sciences: an International Journal - Special issue analytical theory of fuzzy control with applications
Diagnosis and Fault-Tolerant Control
Diagnosis and Fault-Tolerant Control
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Sliding mode observers: a survey
International Journal of Systems Science
Analysis and design of fuzzy controller and fuzzy observer
IEEE Transactions on Fuzzy Systems
H∞ fuzzy output feedback control design for nonlinear systems: an LMI approach
IEEE Transactions on Fuzzy Systems
LMI-Based Nonlinear Fuzzy Observer-Controller Design for Uncertain MIMO Nonlinear Systems
IEEE Transactions on Fuzzy Systems
Stabilization of Nonlinear Systems Under Variable Sampling: A Fuzzy Control Approach
IEEE Transactions on Fuzzy Systems
Fault Detection for Uncertain Fuzzy Systems: An LMI Approach
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Observer-based fault-tolerant control against sensor failures for fuzzy systems with time delays
International Journal of Applied Mathematics and Computer Science
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This paper addresses the problem of robust fault estimation and fault tolerant control (FTC) for Takagi-Sugeno (T-S) fuzzy systems. A fuzzy-augmented fault estimation observer (AFEO) design is proposed to achieve fault estimation of T-S models with actuator faults. Furthermore, based on the information of online fault estimation, an observer-based dynamic output feedback-fault tolerant controller (DOFFTC) is designed to compensate for the effect of faults by stabilizing the closed-loop system. Sufficient conditions for the existence of both AFEO and DOFFTC are given in terms of linear matrix inequalities. Simulation results of an inverted pendulum system are presented to illustrate the effectiveness of the proposed method.