Self-learning fuzzy neural networks for control of uncertain systems with time delays

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 27, Issue 1, 1997, Pages 142-148

  Chen, S B ^a   Wu, L ^a   Wang, Q L ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY CONTROL; FUZZY SETS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; WELDING;

NEURAL NETWORK COMPENSATOR; SELF LEARNING FUZZY NEURAL NETWORK CONTROL SCHEME; SMITH PREDICTOR;

NEURAL NETWORKS;

EID: 0031076641     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.552196     Document Type: Article

References (24)

1. O. H. Smith, "Closed control of loops with dead times," Chem. Eng. Prog., vol. 53, no. 6, pp. 217-219, 1957.
2. N. Shanmugathasan and R. D. Johnston, "Exploitation of time delays for improved process control," Int. J. Control, vol. 48, no. 3, pp. 1137-1162, 1988.
3. C. Batur and V. Kasparian, "Adaptive expert control," Int. J. Control, vol. 54, no. 4, pp. 867-881, 1991.
4. J. A. Bernard, "Use of rule-based system for process control," IEEE Contr. Syst. Mag., vol. 8, pp. 3-13, 1988.
5. P. J. King and E. H. Mamdani, "The application of fuzzy control system to industrial processes," Automatica, vol. 13, pp. 235-242, 1977.
6. W. J. M. Kickert and E. H. Mamdani, "Analysis of a fuzzy logic controller," Fuzzy Sets Syst., vol. 1, pp. 29-44, 1978.
7. W. J. M. Kickert and H. R. Van Lautc Lemke, "Application of a fuzzy controller in warm water plant," Automatica, vol. 12, pp. 301-308, 1976.
8. N. J. Mandic, E. M. Scharf, and E. H. Mamdani, "Practical application of a realistic fuzzy rule-based controller to the dynamic control of a robot arm," Proc. IEEE, vol. 132, part D, no. 4, 1985.
9. T. J. Procyk and E. H. Mamdani, "A linguistic self-organizing process controller," Automatica, vol. 15, pp. 15-30, 1979.
10. H. R. Berenji and P. Khedkar, "Learning and tuning fuzzy logic controllers through reinforcements," IEEE Trans. Neural Networks, vol. 3, no. 5, pp. 724-740, 1992.
11. J. R. Jang, "Self-learning fuzzy controllers based on temporal back propagation," IEEE Trans. Neural Networks, vol. 3, no. 5, pp. 714-723, 1992.
12. C. C. Lee, "A self-learning rule-based controller employing approximate reasoning and neural net concepts," Int. J. Intell. Syst., vol. 5, no. 3, pp. 71-93, 1991.
13. K. J. Hunt et al., "Neural networks for control systems - A survey," Automatica, vol. 28, no. 6, pp. 1083-1112, 1992.
14. M. J. Willis et al., "Artificial neural networks in process estimation and control," Automatica, vol. 28, no. 6, pp. 1181-1187, 1992.
15. D. H. Nguyen and B. Widrow, "Neural networks for self-learning control systems," IEEE Contr. Syst. Mag., pp. 18-23, 1990.
16. G. A. Rovithakis and M. A. Christodoulou, "Adaptive control of unknown plants using dynamical neural networks," IEEE Trans. Syst., Man, Cybern., vol. 24, no. 3, pp. 400-411, 1994.
17. B. Kosko, Neural Networks and Fuzzy Systems. Englewood Cliffs, NJ: Prentice-Hall, 1992.
18. S. Z. Long and P. Z. Wang, "Self-regulation problem of fuzzy control rules," Fuzzy Math., vol. 3, pp. 105-111, 1982.
19. S. Y. Li and H. Z. Hu, "Design and study of a class three-dimensional fuzzy controller," in Proc. Int. Symp. Fuzzy Systems and Knowledge Engineering, 1987, vol. 2, pp. 447-448.
20. G. M. Ahdelnour et al., "Design of a fuzzy controller using input and output mapping factors," IEEE Trans. Syst., Man, Cybern., vol. 21, pp. 952-960, 1991.
21. A. E. Bentley and S. J. Marburger, "Arc welding penetration control using quantitative feedback theory," Welding J., vol. 71, no. 11, pp. 397s-405s, 1992.
22. N. M. Carlson, J. A. Johnson, and D. C. Kunerth, "Control of GMAW: Detection of discontinuities in the weld pool," Welding J., vol. 69, no. 7, pp. 266s-269s, 1990.
23. W. Chen and B. A. Chen, "Monitoring joint penetration using infrared sensing techniques," Welding J., vol. 69, no. 9, pp. 181s-185s, 1990.
24. S. Nagarajan et al., "Infrared sensing for adaptive arc welding," Welding J., vol. 68, no. 11, pp. 462s-466s, 1989.