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This paper gives stability analysis of the nonlinear predictive control strategy based on the off-line identified RBF-ARX model which is a pseudo-linear time-varying ARX model with system working-point dependent Gaussian RBF neural network style coefficients. The predictive controller doesn't require on-line parameter estimation; it may be applied to a class of smooth nonlinear processes whose working-point...
This note discusses the output tracking control for a linear plant containing uncertain hysteresis nonlinearities in actuator and sensor devices simultaneously, where the hysteresis is described by Prandtl-Ishlinskii model. A new adaptive control scheme is developed to compensate the plant, the actuator and the sensor uncertainties and to generate an adaptive estimate of the plant output. The proposed...
The piezo-actuated stage is composed of a piezo electric actuator (PEA) and a positioning mechanism (PM). Due to the existence of hysteretic nonlinearity in the PEA and the friction in the PM, the high precision control of the piezo-actuated stage is a challenging task. This paper discusses the high precision adaptive control for the piezo-actuated stage, where the hysteresis is described by Prandtl-Ishlinskii...
This paper discusses the output control for a linear plant containing uncertain hysteresis nonlinearities in actuator and sensor devices simultaneously, where the hysteresis is described by Prandtl-Ishlinskii model. A new adaptive control scheme is developed to compensate the plant, the actuator and the sensor uncertainties and to generate an adaptive estimate of the plant output. The proposed control...
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