Mnemonic enhancement optimization (MEO) for real-time optimization of industrial processes

Industrial and Engineering Chemistry Research

Volumn 48, Issue 1, 2009, Pages 499-509

  Fang, Xueyi ^a   Shao, Zhijiang ^a   Wang, Zhiqiang ^a   Chen, Weifeng ^a   Wang, Kexin ^a   Zhang, Zhengjiang ^a   Zhou, Zhou ^a   Chen, Xi ^a   Qian, Jixin ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; ELECTRIC NETWORK PARAMETERS; ORBITS; REGENERATORS;

CONTINUOUS FUNCTIONS; INDUSTRIAL PROCESS; INITIAL POINTS; MODEL-BASED; NUMBER OF ITERATIONS; NUMERICAL EXPERIMENTS; OPTIMAL SETS; OPTIMAL SOLUTIONS; OPTIMIZATION ALGORITHMS; PARAMETER VALUES; PARAMETRIC OPTIMIZATIONS; REAL-TIME OPTIMIZATIONS; SOLUTION TIME;

OPTIMIZATION;

EID: 61649085701     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie800166p     Document Type: Article

References (16)

1. Varma, V. A.; Reklaitis, G. V.; Blau, G. E.; Pekny, J. F. Enterprise-wide modeling & optimization - An overview of emerging research challenges and opportunities. Comput. Chem. Eng. 2007, 31, 692-711.
2. Lid, T.; Skogestad, S. Scaled steady state models for effective online applications. Comput. Chem. Eng. 2007, 32, 990-999.
3. Biegler, L. T.; Grossmann, I. E. Retrospective on optimization. Comput. Chem. Eng. 2004, 28, 1169-1192.
4. Wright, S. J.; Tenny, M. J. a Feasible Trust-Region Sequential Quadratic Programming Algorithm. SIAM J. Optim. 2004, 14 (4), 1074-1105.
5. Noll, D.; Torki, M.; Apkarian, P. Partially Augmented Lagrangian Method for Matrix Inequality Constraints. SIAM J. Optim. 2004, 15 (1), 161-184.
6. Gill, P. E.; Murray, W.; Saunders, M. A. SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization. SIAM J. Optim. 2002, 72 (4), 979-1006.
7. Wächter, A. An Interior Point Algorithm for Large-Scale Nonlinear Optimization with Applications in Process Engineering. Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA, 2002.
8. Deuflhard, P. Newton Method of Nonlinear Problems: Affine Invariance and Adaptive Algorithms; Springer-Verlag: Berlin, Heidelberg, 2004.
9. Forbes, J. F.; Marlin, T. E. Design Cost: A Systematic Approach to Technology Selection for Model-Based Real-Time Optimization Systems. Comput. Chem. Eng. 1996, 20 (6/7), 717-734.
10. Sequeira, S. E.; Graells, M.; Puigjaner, L. Real-Time Evolution for On-line Optimization of Continuous Processes. Ind. Eng. Chem. Res. 2002, 41, 1815-1825.
11. Bank, B.; Guddat, J.; Klatte, D.; Kummer, B.; Tammer, K. Non-Linear Parametric Optimization; Birkhäuser: Basel, 1983.
12. Lin, W.; Seader, J. D.; Wayburn, T. L. Computing Multiple Solutions to Systems of Interlinked Separation Columns. AIChE J. 1987, 33 (6), 886-897.
13. Wang, K.; Shao, Z.; Zhang, Z.; Chen, Z.; Fang, X.; Zhou, Z.; Chen, X.; Qian, J. Convergence Depth Control for Process System Optimization. Ind. Eng. Chem. Res. 2007, 46,1129-1138.
14. Jiang, A.; Shao, Z.; Chen, X.; Fang, X.; Geng, D.; Zheng, X.; Qian, J. Simulation and Optimization of Distillation Column Sequence in Large-Scale Ethylene Production. J. Chem. Ind. Eng. China 2006, 57, 2128.
15. Geng, D. Simulation and Optimization on Ethylene Separation Process. M.S. Thesis, Zhejiang University, China, 2006.
16. Berge, C. Topological spaces; Oliver and Boyd: London, 1963.