Intelligent approach to integration and control of textile processes

Information sciences

Volumn 123, Issue 3, 2000, Pages 181-199

  Kim, Sungshin ^a   Vachtsevanos, George J ^b  

^a Pusan National University   (South Korea)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; FEEDBACK CONTROL; FUZZY CONTROL; FUZZY SETS; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMAL CONTROL SYSTEMS; POLYNOMIALS; PROCESS CONTROL; SCADA SYSTEMS; TEXTILE PROCESSING;

CAUSE-EFFECT RELATIONS; POLYNOMIAL FUZZY NEURAL NETWORKS;

INTELLIGENT CONTROL;

EID: 0034174160     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-0255(99)00130-9     Document Type: Article

References (14)

1. Goldberg D. Genetic Algorithms in Search, Optimization, and Machine Learning. 1989;Addison-Wesley, Reading, MA.
2. Horikawa S., Furuhashi T., Uchikawa Y. On fuzzy modeling using fuzzy neural networks with the backpropagation algorithm. IEEE Trans. Neural Networks. 3(5):1992;801-806.
3. Ivakhnenko A.G. Polynomial theory of complex systems. IEEE Trans. Systems Man Cybernet. SMC-12:1971;364-378.
4. Junhong N., Linkens D.A. Fuzzy-neural Control: Principles Algorithms, and Applications. 1995;Prentice-Hall, New York.
5. Kickert W.J.M., Mamdani E.H. Analysis of a fuzzy logic controller. Fuzzy Sets and Systems. 1:1978;29-44.
6. S. Kim, A. Kumar, J.L. Dorrity, G. Vachtsevanos, Fuzzy modeling, control and optimization of textile processes, in: Proceedings of the 1994 First International Joint Conference of NAFIPS/IFIS/NASA, December 1994, pp. 32-38.
7. S. Kim, G. Vachtsevanos, A polynomial fuzzy neural network for identification and control, in: North American Fuzzy Information Proc. Society, 19-22 June 1996, pp. 5-9.
8. Madala H.R., Ivakhnenko A.G. Inductive Learning Algorithms for Complex Systems Modeling. 1994;CRC Press, Boca Raton.
9. Mizumoto M. Fuzzy controls under various fuzzy reasoning methods. Informat. Sci. 45:1988;129-151.
10. Mogahzy Y.E., Perkins W.S. Effect of creep-related overdrying in sizing on warp characteristics and weaving performance. Textile Res. J. 62(6):1992;317-324.
11. S. Shrier, R.L. Barron, L.O. Gilstrap, Polynomial and neural networks: analogies and engineering applications, in: Proceedings of the IEEE First International Conference on Neural Networks, vol. 2, 1987, pp. 431- 439.
12. Tanaka K., Sano M., Watanabe H. Modeling and control of carbon monoxide concentration using a neuro-fuzzy technique. IEEE Trans. Fuzzy Systems. 3(3):1995;271-279.
13. Vachtsevanos G., Dorrity J.L., Kumar A., Kim S. Advanced application of statistical and fuzzy control to textile processes. IEEE Trans. Indust. Appl. 30(3):1994;510-516.
14. L.X. Wang, J. M. Mendel, Back-propagation fuzzy systems as nonlinear dynamic system identifiers, in: Proceedings of the IEEE International Conference on Fuzzy Systems, San Diego, 1992, pp. 1409-1418.