Nonlinear Model Identification and Data Reconciliation Using Kernel Principal Component Regression
Author:
Affiliation:
1. Department of Chemical Engineering, IIT Madras, Chennai, 600036, India
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.8b06095
Reference19 articles.
1. Steady-State Identification, Gross Error Detection, and Data Reconciliation for Industrial Process Units
2. State of the art and challenges in mineral processing control
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