Title :
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
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;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.783157
