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Comparison of Canonical Variate Analysis and Partial Least Squares for the identification of dynamic processes

Lookup NU author(s): Dr Alexandros Simoglou, Professor Elaine Martin, Emeritus Professor Julian Morris


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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 (ARX) 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 fluidized bed reactor.

Publication metadata

Author(s): Simoglou A, Martin EB, Morris AJ

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings of the American Control Conference

Year of Conference: 1999

Pages: 832-837

Publisher: IEEE


DOI: 10.1109/ACC.1999.783157

Library holdings: Search Newcastle University Library for this item

ISBN: 0780349903