Hybrid Partial Least Squares Models for Batch Processes: Integrating Data with Process Knowledge

This paper presents a unique strategy for integrating fundamental process knowledge with measurement data to build a partial least squares (PLS) model with improved estimation capability. To this end, variables from two different sources are combined to create the predictor data matrix for the PLS model. Measurement data from sensors is stored and used as inputs to a modified first-principles model to generate trajectory data of unmeasured …