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Batch processes are commonly characterized by uneven trajectories due to the existence of batch-to-batch variations. The batch end-product quality is usually measured at the end of these uneven trajectories. It is necessary to align the time differences for both the measured trajectories and the batch end-product quality in order to implement statistical process monitoring and control schemes. Apart...
The control of batch end-product quality is an important issue in many high value-added manufacturing industries, particularly specialty chemicals and pharmaceuticals. An attractive approach for controlling such systems is to apply partial least squares (PLS) models, which can utilize the low-dimensional latent variable (or score) space with the corresponding control optimization performed on these...
Control of batch end-product quality can be realized in the latent variable space using the corresponding partial least squares (PLS) model. The PLS model used for the controller was usually derived from process trajectories covering the complete batch duration. In order to predict the batch end-product quality at a selected control decision point for a new batch, missing data algorithms were needed...
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