Statistical Design of Control Systems Subject to Censored Measurements of the Controlled Variables
A process control approach based on a modified principal component regression (PCR) analysis is presented in this paper. The traditional technique of compressing information to a low dimensional score space is adapted to the presence of controlled variables subject to detection limits. A simple example is presented for illustration purposes.
KeywordsControl Variable Statistical Design Traditional Technique Distillation Column Principal Component Regression
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