Use of a Rule-Based System for Process Control

IEEE Control Systems Magazine

Volumn 8, Issue 5, 1988, Pages 3-13

  Bernard, John A ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MATHEMATICAL TECHNIQUES -- FUZZY SETS; PROCESS CONTROL;

FUZZY LOGIC; MIT RESEARCH REACTOR; RULE BASED CONTROLLERS;

NUCLEAR REACTORS;

EID: 0024090799     PISSN: 02721708     EISSN: None     Source Type: Journal    
DOI: 10.1109/37.7735     Document Type: Article

References (18)

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3. J. Maiers and Y. S. Sherif, “Application of Fuzzy Set Theory,” IEEE Trans. Syst., Man, Cybern., vol. SMC-15, no. 1, pp. 175–189, 1985.
4. J. A. Bernard, K. S. Kwok, and D. D. Lanning, “Experimental Evaluation of 'Fuzzy' Logic in Closed-Loop Reactor Control,” Trans. Amer. Nucl. Soc., vol. 49, pp. 392393, 1985.
5. J. A. Bernard, A. Ray, K. S. Kwok, and D. D. Lanning, “Design and Experimental Evaluation of a 'Fuzzy' System for the Control of Reactor Power, “ Proc. Amer. Contr. Conf., vol. 3, pp. 1466–1474, 1985.
6. J. A. Bernard, “The Construction and Use of a Knowledge Base in the Real-time Control of Research Reactor Power,” Proc. 6th Power Plant Dynamics, Control, and Testing Symp., Knoxville, TN, Apr. 1986.
7. J. A. Bernard, K. S. Kwok, R. S. Omedo, D. D. Lanning, and J. H. Hopps, “The Application of Digital Technology to the Control of Reactor Power: A Review of the MIT Reactor Experiments,” Proc. 6th Power Plant Dynamics, Control, and Testing Symp., Knoxville, TN, Apr. 1986.
8. J. A. Bernard, A. F. Henry, and D. D. Lanning, “Application of the 'Reactivity Constraint Approach' to Automatic Reactor Control,” Nucl. Sci. Eng., vol. 98, no. 2, pp. 87–95, 1988.
9. L. A. Zadeh, “Making Computers Think Like People,” IEEE Spectrum, vol. 21, no. 8, pp. 26–32, 1984.
10. B. G. Buchanan and E. H. Shortliffe, Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project, Reading, MA: Addison-Wes-ley, 1984.
11. R. Lindsay, B. G. Buchanan, E. A. Feigenbaum, and J. Lederberg, Applications of Artificial Intelligence for Chemical Inference: The DENDRAL Project, New York: McGraw-Hill, 1980.
12. Proceedings EPRI Conference on Expert Systems Applications in Power Plants, Electric Power Research Institute, Palo Alto, CA, May 1987.
13. J. A. Bernard, A. Ray, and D. D. Lanning, “Digital Control of Power Transients in a Nuclear Reactor,” IEEE Trans. Nucl. Sci., vol. NS-31, no. 1, pp. 701–705, 1984.
14. J. A. Bernard and D. D. Lanning, “Fault-Tolerant Systems Approach Toward Closed-Loop Digital Control of Nuclear Power Reactors,” CPE-8317878, National Science Foundation, Washington, DC, 1988.
15. R. S. Shirley, “Some Lessons Learned Using Expert Systems for Process Control,” IEEE Contr. Syst. Mag., vol. 7, no. 6, pp. 11–14, 1987.
16. K. L. Tang and R. J. Mulholland, “Comparing Fuzzy Logic with Classical Controller Designs,” IEEE Trans. Syst., Man, Cybern., vol. SMC-17, no. 6, pp. 1085–1087, 1987.
17. M. Kinoshita, Y. Tanji, N. Yamada, and T. Kiguchi, “Rule-Based Control Method That Uses a Learning Function,” Trans. Japan Atom. Energ. Soc., vol. 1, p. 183, 1985 ‘in Japanese’.
18. R. S. Omedo, J. A. Bernard, D. D. Lanning, and J. H. Hopps, “Design and Experimental Evaluation of an Automatically Reconfigurable Controller for Process Plants,” Proc. Amer. Conlr. Conf., Minneapolis, MN, vol. 3, pp. 1662–1668, 1987.