A New Static Estimator Based on Self-Optimizing Theory


This thesis compares the performance of the new static model based estimator proposed by Skogestad et al. (2011) with least squares (LS), principal component regression (PCR), and partial least squares (PLS) estimators on a linear, binary, and multicomponent distillation model. The performance is classified into two categories: “open-loop” performance… (More)


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