论文信息 - Dynamic PLS modelling for process control

Dynamic PLS modelling for process control

Abstract A modification of the Partial Least-Squares (PLS) modelling procedure is presented which permits incorporation of a dynamic transformation into the standard algebraic form of this model. This makes it possible to use the resulting dynamic PLS model for control system design by employing precompensators and postcompensators constructed from the input and output loading matrices and basing the controller for the compensated plant on the dynamic inner relation of the modified PLS model.

W. Harmon Ray | W. Ray | M. H. Kaspar | Michael H. Kaspar

[1] A. Höskuldsson. PLS regression methods , 1988 .

[2] Thomas E. Marlin,et al. Multivariate statistical monitoring of process operating performance , 1991 .

[3] S. Wold,et al. Multivariate Data Analysis in Chemistry , 1984 .

[4] Babatunde A. Ogunnaike,et al. Advanced multivariable control of a pilot‐plant distillation column , 1983 .

[5] B. Kowalski,et al. Partial least-squares regression: a tutorial , 1986 .

[6] W. Harmon Ray,et al. Chemometric methods for process monitoring and high‐performance controller design , 1992 .

[7] N. L. Ricker. The use of biased least-squares estimators for parameters in discrete-time pulse-response models , 1988 .

[8] S. Wold,et al. The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses , 1984 .