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A batch-to-batch optimal control method is presented in the paper for batch process control under input constraints. Generally it is very difficult to acquire an accurate mechanistic model for a batch process. Kernel principal component regression (KPCR) technique is a nonlinear modeling method that has a better ability to deal with nonlinear data. A KPCR model based batch-to-batch optimal control...
In speech or speechreading recognition application, traditional LDA algorithm usually choose syllable, HMM state or other units as class unit. but the feature dimensionality reduction direction based on this traditional LDA has no direct relations with recognition accuracy. To this problem, An improved LDA algorithm based on Object (LDAO) which is fit for isolated words recognition in speechreading...
A batch-to-batch optimal control method is presented for batch processes under input and output constraints with batch wise error feedback. Generally it is very difficult to acquire an accurate mechanistic model for a batch process. Because support vector machine is powerful for the problems characterized by small samples, nonLinearity, high dimension and local minima, support vector regression model...
To solve dynamic optimization problems of batch processes without state independent and end-point constraints, an iterative discrete particle swarm optimization (IDPSO) algorithm was developed. The main idea of the algorithm was to execute the discrete particle swarm optimization (DPSO) iteratively then the control profile would converge to an optimal one. For the method, the control region and time...
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