MODELING AND CONTROL OF MULTIVARIABLE PROCESSES - DYNAMIC PLS APPROACH

The issue of modeling and control of multivariable chemical process sy stems using the dynamic version of a popular multivariate statistical technique, namely projection to latent structures (partial least squar es or PLS) is addressed. Discrete input-output data are utilized to co nstruct a projection-based dynamic model that captures the dominant fe atures of the process under study. The structure of the resulting mode l enables the synthesis of a multiloop control system. In addition, th e design of feedforward control for multivariable systems using the dy namic PLS framework is also presented. Three case studies are used to illustrate the modeling and control of multivariable linear and nonlin ear systems using the suggested approach.