On the generalization of single input rule modules connected type fuzzy reasoning method

IEEE Transactions on Fuzzy Systems

Volumn 16, Issue 5, 2008, Pages 1180-1187

  Seki, Hirosato ^a   Ishii, Hiroaka ^a   Mizumoto, Masaharu ^b  

^a OSAKA UNIVERSITY   (Japan)

^b OSAKA ELECTRO COMMUNICATION UNIVERSITY   (Japan)

Author keywords

Fuzzy reasoning; Fuzzy rule; Fuzzy ruleTakagi Sugeno (T S) fuzzy reasoning method; Single input rule modules (SIRMs)

Indexed keywords

FUZZY RULES; FUZZY SETS;

EXTENDED VERSIONS; FUZZY REASONING; FUZZY REASONINGS; FUZZY RULETAKAGI-SUGENO (T-S) FUZZY REASONING METHOD; REASONING METHODS; SINGLE INPUT RULE MODULES (SIRMS); SINGLE INPUTS;

FUZZY INFERENCE;

EID: 54349115967     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2008.924182     Document Type: Article

References (21)

1. L. A. Zadeh, "Fuzzy sets," Inform. Control, vol. 8, pp. 338-353, 1965.
2. E. H. Mamdani, "Application of fuzzy algorithms for control of simple dynamic plant," Proc. IEE, vol. 121, no. 12, pp. 1585-1588, 1974.
3. L. P. Holmblad and J. J. Ostergard, "Control of a cement kiln by fuzzy logic," in Information and Decision Processes, M. M. Gupta and E. Sanchez, Eds. Amsterdam, North Holland, 1982, pp. 386-389.
4. L. A. Zadeh, "Interpolative reasoning in fuzzy logic and neural network theory," in Proc. 1992 IEEE Int. Conf. Fuzzy Syst. (Plenary Talk), San Diego, CA, p. 1.
5. N. Yubazaki, J. Yi, M. Otani, and K. Hirota, "SIRMs dynamically connected fuzzy inference model and its applications," in Proc. IFSA 1997, Prague, Czech Republic, vol. 3, pp. 410-415.
6. J. Yi, N. Yubazaki, and K. Hirota, "Upswing and stabilization control of inverted pendulum and cart system by the SIRMs dynamically connected fuzzy inference model," in Proc. 1999 IEEE Int. Conf. Fuzzy Syst. Seoul, Korea, vol. 1, pp. 400-405.
7. J. Yi, N. Yubazaki, and K. Hirota, "A proposal of SIRMs dynamically connected fuzzy inference model for plural input fuzzy control," Fuzzy Sets Syst., vol. 125, no. 1, pp. 79-92, 2002.
8. J. Yi, N. Yubazaki, and K. Hirota, "A new fuzzy controller for stabilization of parallel-type double inverted pendulum system," Fuzzy Sets Syst., vol. 126, no. 1, pp. 105-119, 2002.
9. J. Yi, N. Yubazaki, and K. Hirota, "Anti-swing fuzzy control of overhead traveling crane," in Proc. 2002 IEEE Int. Conf. Fuzzy Syst. Hawaii, HI, vol. 2, pp. 1298-1303.
10. S. Khwan-on, T. Kulworawanichpong, A. Srikaew, and S. Sujitjorn, "Neuro-tabu-fuzzy controller to stabilize an inverted pendulum system," in Proc. 2004 IEEE Region 10 Conf. TENCON 2004, Chiang Mai, Thailand, vol. D, pp. 562-565.
11. H. Seki, M. Mizumoto, and N. Yubazaki, "On the property of single input rule modules connected type fuzzy reasoning method," (in Japanese) IEICE Trans. Fundamentals, vol. J89-A, no. 6, pp. 557-565, 2006.
12. T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Trans. Syst. Man Cybern. vol. SMC-15, no. 1, pp. 116-132, Feb. 1985.
13. T. J. Procyk and E. H. Mamdani, "A linguistic self-organizing process controller," Automatica, vol. 15, pp. 15-30, 1979.
14. A. Maeda, R. Someya, and M. Funabashi, "A selftuning algorithm for fuzzy membership functions using computational flow network," in Proc. 4th IFSA World Congress Artif. Intell., Brussels, Belgium, 1991, pp. 129-132.
15. J. R. Jang, "Self-learning fuzzy controllers based on temporal back propagation," IEEE Trans. Neural Netw., vol. 3, no. 5, pp. 714-723, Sep. 1992.
16. H. R. Berenji and P. Khedker, "Learning and tuning fuzzy logic controllers though reinforcements," IEEE Trans. Neural Netw., vol. 3, no. 5, pp. 724-740, Sep. 1992.
17. H. Ichihashi, "Iterative fuzzy modeling and a hierarchical network," in Proc. 4th IFSA World Congr. Eng., Brussels, Belgium, 1991, pp. 49-52.
18. L. X. Wang and J. M. Mendel, "Back-propagation fuzzy system as nonlinear dynamic system identifiers," in Proc. 1992 IEEE Int. Conf. Fuzzy Syst., San Diego, CA, pp. 1409-1416.
19. X. Cui and K. G. Shin, "Direct control and coordination using neural networks,2: IEEE Trans. Syst. Man Cybern., vol. 23, no. 3, pp. 686-697, May/Jun. 1993.
20. C. F. Juang, "A TSK type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms," IEEE Trans. Fuzzy Syst., vol. 10, no. 2, pp. 155-170, Apr. 2002.
21. W. Yu and X. Li, "Fuzzy identification using fuzzy neural networks with stable learning algorithms," IEEE Trans. Fuzzy Syst., vol. 12, no. 3, pp. 411-420, Jun. 2004.