Subspace-based identification integrated to recursive PLS modeling: A preliminary result
DOI:
https://doi.org/10.52292/j.laar.2025.3447Keywords:
Control Performance Monitoring, Model-on-Demand Algorithm, Plant-Wide Control, Recursive Partial Least Squares, Subspace IdentificationAbstract
In this work a new multivariable dynamic recursive estimation approach is presented. The overall methodology is based on the classical subspace state-space identification (4SID) theory and integrated with the recursive partial least squares (RPLS) tools. The main theory and concepts are shown and some preliminary results are displayed for the classical Shell fractionator process.
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