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It is presented a model of uncertain switched fuzzy systems, which each subsystem of switched system is an uncertain fuzzy system, and the robust reliable control problem is studied. When the actuators are serious failure - the residual part of actuators can not make original system stability, using switching technique depend on the states of observers and Lyapunov function method, dynamic fuzzy reliable...
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,...
In this paper, direct adaptive control schemes are developed to solve the robust tracking problem of a class of distributed large scale systems with actuator faults, faulty and perturbed interconnection links, and external disturbances. The adaptation laws are proposed to update controller parameters on-line when all eventual faults, the upper bounds of the perturbations and disturbances are assumed...
In this paper, the problem of designing adaptive fault-tolerant Hinfin compensation controllers for linear time-invariant continuous-time systems is presented. Linear matrix inequalities (LMIs) are developed with multiple Lyapunov functions to find a stabilizing controller gain such that the disturbance attenuation performance is optimized. Direct adaptive-state feedback control schemes are proposed...
In this paper, an adaptive fuzzy approach is proposed to deal with robust output tracking of unknown nonlinear systems with actuator failures. The actuator failures under consideration can be both of lock-in-place and loss of effectiveness. By incorporating fuzzy logic approximation, adaptive algorithm and attenuation technique to our design, a fault tolerant control law is developed to guarantee...
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