Identification for the Control of Variable Trajectories in Batch Processes

Various issues on the closed-loop identification of empirical latent variable dynamic models for model predictive control (MPC) of the trajectories of process variables in batch systems are investigated. The concept of identifiability is explored in the context of batch processes and desirable conditions for the identification experiments to be informative for building latent variable dynamic models are proposed. It is shown that in many …