Dimensions and Analysis of Uncertainty in Industrial Modeling Process
Author:
Affiliation:
1. School of Chemical and Materials Engineering (SCME), National University of Sciences & Technology
2. Department of Systems Science, Kyoto University
3. 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/51/7/51_17we362/_pdf
Reference87 articles.
1. Ahmad, I.; “Gray-box Modeling for Stable and Efficient Operation of Steel Making Process,” Doctor Thesis, Kyoto University, Japan (2014)
2. Ahmad, I., M. Kano, S. Hasebe, H. Kitada and N. Murata; “Gray-Box Modeling for Prediction and Control of Molten Steel Temperature in Tundish,” J. Process Contr., 24, 375–382 (2014a)
3. Ahmad, I., M. Kano, S. Hasebe, H. Kitada and N. Murata; “Prediction of Molten Steel Temperature in Steel Making Process with Uncertainty by Integrating Gray-Box Model and Bootstrap Filter,” J. Chem. Eng. Japan, 47, 827–834 (2014b)
4. Akcay, A. and B. Biller; “Input Uncertainty in Stochastic Simulations in the Presence of Dependent Discrete Input Variables,” J. Simul., 1–12 (2015)
5. Al-Qahtani, K. and A. Elkamel; “Robust Planning of Multisite Refinery Networks: Optimization Under Uncertainty,” Comput. Chem. Eng., 34, 985–995 (2010)
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