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The problem of robust output tracking of nonlinear systems is considered in this paper. The systems under consideration are subjected to actuator faults. The main difficulty in system design is that not only the fault information but also the function of the system model are unknown. Based on the universal approximation property of fuzzy system, a novel control scheme is proposed to guarantee the...
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,...
An adaptive predictive functional control algorithm based on T-S fuzzy model for discrete-time nonlinear systems is proposed. In this algorithm the consequent parameters of T-S fuzzy model are identified by the weighting recursive least square method. Parameters of the fuzzy model are used to directly recursively compute the model prediction output, and needn't solve Diophantine equations. Analysis...
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