Stability analysis of the RBF-ARX model based nonlinear predictive control | IEEE Conference Publication | IEEE Xplore

Stability analysis of the RBF-ARX model based nonlinear predictive control


Abstract:

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 ...Show More

Abstract:

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 varies over a wide range. Stability analysis of the nonlinear predictive controller is given both in unconstrained case and in case of a posterior input constraint. An industrial experiment result of the predictive control design is also revealed for illustrating its effectiveness and feasibility.
Date of Conference: 01-04 September 2003
Date Added to IEEE Xplore: 23 April 2015
Print ISBN:978-3-9524173-7-9
Conference Location: Cambridge, UK

References

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