Inferential Control of a Distillation Column through the Successive Update of the Soft-sensor and Control Algorithm
Author:
Affiliation:
1. Devision of Process Control and Process Systems Engineering, Department of Chemical Engineering, Kyoto University
Publisher
Society of Chemical Engineers, Japan
Subject
General Chemical Engineering,General Chemistry
Link
https://www.jstage.jst.go.jp/article/jcej/54/7/54_21we012/_pdf
Reference22 articles.
1. Abusnina, A., D. Kudenko and R. Roth; “Improving Robustness of Gaussian Process-Based Inferential Control System Using Kernel Principle Component Analysis,” 2014 13th International Conference on Machine Learning and Applications, pp. 99–104 (2014)
2. Bahar, A. and C. Özgen; “State Estimation and Inferential Control for a Reactive Batch Distillation Column,” Eng. Appl. Artif. Intell., 23, 262–270 (2010)
3. Bidar, B., M. Khalilipour, F. Shahraki and J. Sadeghi; “A Data-Driven Soft-sensor for Monitoring ASTM-D86 of CDU Side Products Using Local Instrumental Variable (LIV) Technique,” J. Taiwan Inst. Chem. Eng., 84, 49–59 (2018)
4. Bosca, S., A. Barresi and D. Fissore; “On the Use of Model-based Tools to Optimize In-Line a Pharmaceuticals Freeze-Drying Process,” Dry. Technol., 34, 1831–1842 (2016)
5. Cao, P., X. Luo and X. Song; “Feasibility Analysis and Online Adjustment of Constraints in Model Predictive Control Integrated with Soft Sensor,” Chin. J. Chem. Eng., 25, 1230–1237 (2017)
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