Modeling and Control of Multivariable Processes: Dynamic PLS Approach

S. Lakshminarayanan, Sirish L. Shah*, K. Nandakumar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

132 Scopus citations

Abstract

The issue of modeling and control of multivariable chemical process systems using the dynamic version of a popular multivariate statistical technique, namely, projection to latent structures (partial least squares or PLS) is addressed. Discrete input - output data are utilized to construct a projection-based dynamic model that captures the dominant features of the process under study. The structure of the resulting model enables the synthesis of a multiloop control system. In addition, the design of feedforward control for multivariable systems using the dynamic PLS framework is also presented. Three case studies are used to illustrate the modeling and control of multivariable linear and nonlinear systems using the suggested approach.

Original languageEnglish
Pages (from-to)2307-2322
Number of pages16
JournalAICHE Journal
Volume43
Issue number9
DOIs
StatePublished - Sep 1997
Externally publishedYes

Fingerprint

Dive into the research topics of 'Modeling and Control of Multivariable Processes: Dynamic PLS Approach'. Together they form a unique fingerprint.

Cite this