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A non-linear modelling approach of dynamic prediction model for mixed concentrate grade consisting of a linear part and a nonlinear part is developed. The nonlinear part is implemented using the least squares support vector machine (LS-SVM), where the problem of selecting model parameters is transformed into the probability distribution function (PDF) control of the modelling error. Both the PDF control...
Process data exhibits both nonlinear and dynamic characteristics. A multivariable nonlinear dynamic modeling method is proposed by combining dynamic partial least squares (DPLS) algorithm and Hammerstein model. This method applies Hammerstein model to the DPLS inner regression. The outer PLS algorithm with ARX inputs is used to model the dynamics of the process, and it is also used to reduce the dimensionality...
Evaporation process is an important working procedure in alumina production. The production index of the evaporation system is alkaline solution concentration. Alkaline solution concentration can not be measured on-line in practical production for the present. Assay result directs the industrial product which leads to more steam consumption, easy scaling and recycling inefficiency for alkaline solution...
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