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A new neural linearizing control scheme (NLCS) is proposed for controlling nonlinear chemical processes. In the proposed NLCS a radial basis function (RBF) network is used to linearize the relation between the output of the linear controller and the process output. The learning of the RBF network proceeds adaptively to minimize the difference between the output of the pre-defined linear reference...
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