CCP-Based Plant-Wide Optimization and Application to the Walking-Beam-Type Reheating Furnace
Author:
Affiliation:
1. SMU
2. ECNU
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E99.D/9/E99.D_2016EDP7171/_pdf
Reference18 articles.
1. [1] V.K. Singh and P. Talukdar, “Comparisons of different heat transfer models of a walking beam type reheat furnace,” International Communications in Heat and Mass Transfer, vol.47, pp.20-26, 2013.
2. [2] Y. Zhang and S.Y. Li, “Networked model predictive control based on neighbourhood optimization for serially connected large-scale processes,” Journal of Process Control, vol.17, no.1, pp.37-50, 2007.
3. [3] S. Ochoa, J.U. Repke, and G. Wozny, “Integrating real-time optimization and control for optimal operation: Application to the bio-ethanol process,” Biochemical Engineering Journal, vol.53, no.1, pp.18-25, 2010.
4. [4] Y. Zhang, D. Monder, and J.F. Forbes, “Real-time optimization under parametric uncertainty: a probability constrained approach,” Journal of Process Control, vol.12, no.3, pp.373-389, 2002.
5. [5] A. Prekopa, Stochastic programming, Kluwer Academic, Dordrecht, Netherlands, 1995.
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