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This paper is concerned with the problem of adaptive tracking control for a class of uncertain nonlinear systems with nonsymmetric input saturation and immeasurable states. The radial basis function of neural network (NN) is employed to approximate unknown functions, and an NN state observer is designed to estimate the immeasurable states. To analyze the effect of input saturation, an auxiliary system...
This paper studies an adaptive fuzzy control problem for a class of uncertain nonlinear systems in the pure-feedback form. Compared with the existing approaches, the two main advantages are that the proposed algorithm can be implemented by utilizing only one fuzzy logic systems (FLS) approximator and the robustness of the closed-loop system is improved. The proposed adaptive fuzzy control algorithm...
In this paper, an observer-based robust adaptive fuzzy controller is proposed to deal with the output tracking control problem for a class of uncertain single-input single-output (SISO) nonlinear systems with output delay and unmatched uncertainties.Within this scheme, the state observer is applied for estimating all states which are not available for measurement in the system, and then fuzzy logic...
A new scheme of incorporating the fault tolerance and disturbance rejection in an existing flight control system is proposed. Method to design a standalone compensator is suggested which is added to the original system in order to guarantee the system stability and performance in the presence of fault or disturbances. Thus the controller, which is designed separately considering all the design parameters...
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