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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...
The design of fault tolerant control (FTC) for a class of uncertain nonlinear systems is studied in this paper. The considered system cannot be feedback linearized, and the nonlinear system functions are all unknown. Besides, some unknown actuator faults and external disturbances enter into the system during operation. A novel fault tolerant controller is proposed by incorporating adaptive fuzzy approximation,...
This paper studies the problem of fault-tolerant control (FTC) for a class of uncertain nonlinear systems which cannot be feedback linearized. These systems are unknown in their nonlinearities and subject to both lock-in-place and loss of effectiveness actuator faults. A novel fault-tolerant control approach is proposed by embedding adaptive fuzzy approximators into the backstepping design procedure...
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