Model Predictive Control for Batch Processes: a Latent Variable Approach
نویسندگان
چکیده
A novel multivariate model predictive control strategy (LV-MPC) for trajectory tracking and disturbance rejection for batch processes, based on multiway PCA models, is presented. It directly computes the manipulated variable trajectory adjustments over a future horizon using the structure of the PCA model. The advantages and the modest data requirements are illustrated using an emulsion polymerization process for temperature tracking. Copyright © 2002 IFAC
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