A comparison of canonical variate analysis and partial least squares for the identification of dynamic processes

Author

Simoglou, A. ; Martin, E.B. ; Morris, A.J.

Author_Institution

Centre for Process Anal. & Control Technol., Newcastle upon Tyne Univ., UK

Volume

2

fYear

1999

fDate

2-4 Jun 1999

Firstpage

832

Abstract

This study contributes to the comparison of partial least squares (PLS) and canonical variate analysis (CVA) for the identification of dynamic systems. Two model forms, autoregressive with exogenous inputs and state space representations, are developed with PLS and CVA being used to calculate the model parameters. The different models are compared using two case studies: a benchmark simulation of a binary distillation column and an industrial fluidised bed reactor

Keywords

autoregressive processes; distillation; fluidised beds; identification; process control; state-space methods; ARX model; binary distillation column; canonical variate analysis; dynamic systems; fluidised bed reactor; identification; model parameters; partial least squares; state space representations; Autoregressive processes; Distillation equipment; Fluid dynamics; Fluidization; Inductors; Least squares methods; Process control; Space technology; State-space methods; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1999. Proceedings of the 1999

Conference_Location

San Diego, CA

ISSN

0743-1619

Print_ISBN

0-7803-4990-3

Type

conf

DOI

10.1109/ACC.1999.783157

Filename

783157