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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 presents an observer-based dynamic feedback control design for a linear parabolic partial differential equation (PDE) system, where a finite number of actuators and sensors are active over part thereof and at specified points in the spatial domain, respectively. In the proposed design method, a Luenberger-type PDE observer is first constructed by using the non-collocated pointwise measurements...
The dynamics of spacecrafts with slewing payloads and flexible appendages are complicated, nonlinear, and coupling, which increase the difficulty of control. A new control scheme is presented for a type of flexible spacecrafts with slewing payloads. In the scheme, an adaptive fuzzy logic system (FLS) is designed to approximate the main dynamics of the plant, and an extended state observer (ESO) is...
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...
An adaptive fuzzy Hinfin tracking control scheme is proposed for uncertain MIMO nonlinear system with the external disturbances. Compared with the system models investigated in the existing literatures, the system model in this paper is more general. The main property of this system model is that it does not need to assume that the disturbance coefficients are known constants. By designing the observer,...
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