An integrated framework for on-line supervised optimization

Computers and Chemical Engineering

Volumn 31, Issue 1, 2006, Pages 32-40

  Ferrer Nadal, Sergio ^a   Yélamos Ruiz, Ignacio ^a   Graells, Moisés ^a   Puigjaner, Luis ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Fault diagnosis; Multi component distillation; On line optimization; Real time evolution

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DISTILLATION COLUMNS; STATISTICAL METHODS;

FAULT DIAGNOSIS; MULTI COMPONENT DISTILLATION; ONLINE OPTIMIZATION; REAL TIME EVOLUTION;

ONLINE SYSTEMS;

ALGORITHMS; COMPUTER SIMULATION; DISTILLATION COLUMNS; ONLINE SYSTEMS; STATISTICAL METHODS;

EID: 33750367584     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2006.05.005     Document Type: Article

References (19)

1. Bakshi B.R. Multiscale PCA with application to multivariate statistical process monitoring. AIChE J. 44 7 (1998) 1596-1610
2. Cutler C.R., and Perry R.T. Real time optimization with multi-variable control is required to maximize profits. Computers and Chemical Engineering 7 (1983) 663-667
3. Friedman Y. What's wrong with unit closed loop optimization?. Hydrocarbon Processing (1995) 107
4. Garcia C.E., and Morari M. Optimal operation of integrated processing systems. Part I: open-loop online optimizing control. AIChE J. 27 6 (1981) 960-968
5. Holkomb T., and Morari M. Local training of radial basis function networks: towards solving the hidden unit problem. American control conference (1991) 2331-2336
6. Huang Y., Reklaitis G.V., and Venkatasubramanian V. Dynamic optimization based fault accommodation. Computers and Chemical Engineering 24 (2000) 439-444
7. Kourti T., and MacGregor J.F. Process analysis, monitoring and diagnosis, using multivariate projection methods. Chemometrics and Intelligent Laboratory Systems 28 (1995) 3-21
8. Leonard J.A., and Kramer M.A. Diagnosisng dynamic faults using modular neural nets. IEEE Expert 8 2 (1993) 44-53
9. Marlin T., and Hrymak A.N. Real time operations optimization of continuous processes. AIChE Symposium Series Fifth International Conference on Chemical Process Control 93 (1996) 156-164
10. McFarlane R.C., and Bacon D.W. Adaptative optimizing control of multi-variable constrained chemical processes. Industrial & Engineering Chemistry Research 28 (1989) 1828-1834
11. Miletic I.P., and Marlin T.E. On-line statistical results analysis in real time operations optimization. Industrial & Engineering Chemistry Research 37 (1998) 3670-3684
12. Pinto J.C. On the costs of parameters uncertainties: effect of parameter uncertainties during optimization and design of experiments. Chemical Engineering Science 53 (1998) 2029-2040
13. Sequeira S., Graells M., and Puigjaner L. Real-time evolution for online optimization of continuous processes. Industrial & Engineering Chemistry Research 41 (2002) 1815-1825
14. Sequeira S., Herrera M., Graells M., and Puigjaner L. On-line process optimization: parameter tuning for the real time evolution (RTE) approach. Computers and Chemical Engineering 28 (2004) 661-672
15. Skogestad S. Self-optimizing control: the missing link between steady state optimization and control. Computers and Chemical Engineering 24 (2003) 569-575
16. White D. On line optimization: what have we learned?. Hydrocarbon Processing (1998) 55
17. Xiong Q., and Jutan A. Continuous optimization using dynamic simplex method. Chemical Engineering Science 58 (2003) 3817-3828
18. Yip W.S., and Marlin T.E. The effect of model fidelity on real-time optimization performance. Computers and Chemical Engineering 28 (2004) 267-280
19. Zhao J., Chen B., and Shen J. Multidimensional non-orthogonal wavelet-sigmoid basis function neural network for dynamic process fault diagnosis. Computers and Chemical Engineering 23 (1998) 83-92