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Based on the two-dimensional (2D) system theory, an integrated predictive iterative learning control (2D-IPILC) strategy for batch processes is presented. First, the output response and the error transition model predictions along the batch index can be calculated analytically due to the 2D Roesser model of the batch process. Then, an integrated framework of combining iterative learning control (ILC)...
An integrated control strategy is proposed to track product quality trajectories of batch processes by updating a linear time-varying perturbation (LTVP) model. To address the problem of model uncertainties, the LTVP model is renewed by using recursive forgetting factor algorithm. Then batch-to-batch iterative learning control (ILC) can be feasibly combined with on-line model predictive control (MPC)...
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