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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...
A modeling and control method for a class of nonlinear systems whose working-point varies with some process variable are presented. Based on two global NARMAX (nonlinear ARMAX) models, called the ExpARMAX (exponential ARMAX) models, a multi-step predictive control algorithm without resorting to on-line parameter estimation for the nonlinear systems are proposed. The one of the models is used as the...
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