An adaptive data-based modeling approach for predictive control of batch systems

In this Chapter, previously discussed data-based modeling methodology for batch processes is generalized to account for time-varying dynamics by incorporating online learning ability into the model, making it adaptive. To account for batch to batch variation, first the standard recursive least squares (RLS) algorithm with a forgetting factor is applied to update the model parameters. However, applying the standard RLS algorithm leads to a …