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In this paper, a new on-line soft sensing method is proposed for component concentrations of sodium aluminate solution. With this sensing strategy, real-time control and optimization can be realized in aluminate production plants. Several advance techniques are used, such as PLS (Partial Least Squares), Hammerstein model, recurrent neural networks and least square algorithm. Industrial experiment...
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...
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