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Browsing by Subject "radial basis function"

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    Item type:Article, Access status: Open Access ,
    Artificial neural network with radial basis function in model predictive control of chemical reactor
    (Wydawnictwa AGH, 2009) Samek, David; Dostal, Peter
    This paper describes the application of artificial neural network with radial basis function as a predictor in model predictive control. Radial basis function neural networks are known for their fast training. Thus, this type of artificial neural networks offers promising way how to reduce computational cost during offline predictor training and eventual online adaptation. The features of this type of artificial neural network are presented in simulations in MATLAB/Simulink on the nonlinear system control. The aim of this paper is to suggest one approach how to solve nonlinear prediction problem using artificial neural network respecting computational demands of the predictor.