Subspace based model identification for missing data
Author:
Affiliation:
1. Department of Chemical Engineering McMaster University Hamilton Ontario Canada
Publisher
Wiley
Subject
General Chemical Engineering,Environmental Engineering,Biotechnology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.16538
Reference34 articles.
1. Iterative learning control-based batch process control technique for integrated control of end product properties and transient profiles of process variables
2. Multi-loop nonlinear internal model controller design under nonlinear dynamic PLS framework using ARX-neural network model
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4. Dealing with missing data
5. Process monitoring and diagnosis by multiblock PLS methods
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