Abstract
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.
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© 2002 Springer-Verlag Italia, Milan
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Doví, V.G., Maga, L. (2002). Statistical Design of Control Systems Subject to Censored Measurements of the Controlled Variables. In: Continillo, G., Giona, M., Crescitelli, S. (eds) Nonlinear Dynamics and Control in Process Engineering — Recent Advances. Springer, Milano. https://doi.org/10.1007/978-88-470-2208-9_8
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DOI: https://doi.org/10.1007/978-88-470-2208-9_8
Publisher Name: Springer, Milano
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