Economic assessment of process control quality using a Taguchi-based method

Journal of Process Control

Volumn 11, Issue 1, 2001, Pages 81-88

  Di Mascio, R ^a   Barton, G W ^b  

^a UNIVERSITY OF WESTERN SYDNEY   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE CONTROL SYSTEMS; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; SYSTEM STABILITY; THREE TERM CONTROL SYSTEMS;

TAGUCHI METHOD;

PROCESS CONTROL;

EID: 0035255242     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0959-1524(99)00069-4     Document Type: Article

References (23)

1. Montgomery D.C. Introduction to Statistical Quality Control. 1991;Wiley, New York.
2. Taguchi G., Elsayed E.A., Hsiang T. Quality Engineering in Production Systems. 1989;McGraw-Hill, New York.
3. J.C. Doyle, J.E. Wall, G. Stein, Performance and robustness analysis for structured uncertainty, IEE Conference on Decision Control (1982) 629-636.
4. C.G. Economou, An operator theory approach to nonlinear controller design. Ph.D. thesis, California Institute of Technology, 1985.
5. Nikolaou M., Manousiouthakis V. A hybrid approach to nonlinear system stability and performance. AIChE Journal. 35(4):1989;559.
6. Sistu P.B., Bequette B.W. Nonlinear model-predictive control. closed loop stability analysis AIChE Journal. 42(12):1996;3388-3402.
7. Madsen B.J. Transducer production optimisation. Bendell T. Taguchi methods. proceedings of the 1988 European Conference:1988;143-160 Elsevier Applied Science, London.
8. Dentskevich B.V., Appleton J.M. Optimisation of software parameters by Taguchi methods. Bendell T. Taguchi Methods. Proceedings of the 1988 European Conference:1988;75-93 Elsevier Applied Science, London.
9. Yang C.D., Tai H.C., Yeh F.B. Synthesis of robust-performance controllers using matrix experiments and analysis of variance. International Journal of Control. 68(6):1997;1475-1498.
10. Stephanopoulos G. Chemical Process Control. An Introduction to Theory and Practice:1984;Prentice Hall, Sydney.
11. Garcia C.E., Morari M. Internal model control. 2. Design procedures for multivariable systems. Ind. Eng. Chem. Process Des.Dev. 24:1985;472-484.
12. de Oliveira N.M.C., Biegler L.T. Constraint handling and stability properties of model-predictive control. AIChE Journal. 40(7):1994;1138-1153.
13. Zafiriou E. Robust model predictive control of processes with hard constraints. Computers and Chemical Engineering. 14(4/5):1990;359.
14. C. Gannavarapu, G.W. Barton, J.D. Perkins, J. Lear, Economic choice of control strucure for continuous processes, Fourth Conference on Control Engineering - The Institution of Engineers, Australia, 1990.
15. A. Kassidas, T. Marlin, Predictive controller design with implicit economic criteria, Proceedings of American Control Conference, San Francisco, 1993, p. 801.
16. Narraway L.T., Perkins J.D., Barton G.W. Interaction between process design and process control. economic analysis of process dynamics J. Process Control. 1:1991;243.
17. J.B. Lear, The effects of uncertainty on the economics of optimising control, Ph.D. thesis, University of Sydney, 1992.
18. Li W.C., Biegler L.T. Process control strategies for constrained nonlinear systems. Ind. Eng. Chem. Res. 27:1988;1421-1433.
19. Li W.C., Biegler L.T. Multistep Newton-type control strategies for constrained, nonlinear processes. Chem. Eng. Res. Dev. 67(11):1989;562-577.
20. A.M. Morshedi, Universal Dynamics Matrix Control, CPC III, 1986, pp. 547-577.
21. Le Page G.P., Tade M.O., Stone R.J. Comparative evaluation of advanced process control techniques for alumina flash calciners. J. Process Control. 8(4):1998;287-298.
22. Kuo B.C. Automatic Control Systems. 1975;Prentice Hall, New York.
23. E. Ali, E. Zafiriou, On the tuning of nonlinear model predictive control algorithms. Proceedings of the American Control Conference, 1993, pp. 786-790.