Overview of fuzzy system structure identification

Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University

Volumn 41, Issue 2, 2006, Pages 135-142

  Xiao, Jian ^a   Bai, Yifeng ^a   Yu, Long ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

Fuzzy clustering; Fuzzy system; Structure identification; System identification

Indexed keywords

COMPUTER APPLICATIONS; FUZZY SETS; GENETIC ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); INFERENCE ENGINES; ROBUSTNESS (CONTROL SYSTEMS);

FUZZY CLUSTERING; FUZZY SYSTEM; STRUCTURE IDENTIFICATION; SYSTEM IDENTIFICATION;

FUZZY CONTROL;

EID: 33745152713     PISSN: 02582724     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (35)

1. SUGENO M, KANG G. Structure identification of fuzzy model[J]. Fuzzy Sets and Systems, 1988, 28(1): 15-33.
2. SUGENO M, YASUKAWA T. A fuzzy-logic-based approach to qualitative modeling[J]. IEEE Transactions on Fuzzy Systems, 1993, 1(1): 7-31.
3. CHIU S. Fuzzy model identification based on cluster estimation[J]. Journal of Intelligent and Fuzzy Systems, 1994, 2(3): 267-278.
4. HADJILI M L, WERTZ V. Takagi-Sugeno fuzzy modeling incorporating input variables selection[J]. IEEE Transactions on Fuzzy Systems, 2002, 10(6): 728-742.
5. YANG Hongwei, LI Ning, SHI Hongbo. Generating fuzzy-neural networks with optimal fuzzy rules based on subtractive clustering with application to soft sensor modeling[J]. Journal of East China University of Science and Technology, 2004, 30(6): 694-697.
6. BABUSKA R. Fuzzy modeling for control[M]. Boston: Kluwer Academic Publishers, 1998.
7. ABONYI J, BABUSKA R, SZEIFERT F. Modified Gath-Geva fuzzy clustering for Identification of Takagi-Sugeno fuzzy models[J]. IEEE Transactions on Systems, Man, and Cybernetics: Part B: Cybernetics, 2002, 32(5): 612-621.
8. HOPPNER F, KLAWONN F. Fuzzy cluster analysis[M]. New York: John Wiley and Sons, Ltd, 1999.
9. LINKENS D A, CHEN Minyou. Input selection and partition validation for fuzzy modelling using neural network[J]. Fuzzy Sets and Systems, 1999, 107(3): 299-308.
10. IYATOMI H, HAGIWARA M. Adaptive fuzzy inference neural network[J]. Pattern Recognition, 2004, 37(10): 2049-2057.
11. XIA Jingbo, YANG Xiaotie, WANG Shi. Flow pattern identification based on fuzzy neural network in two phase flow[J]. Control and Decision, 1999, 14(Suppl): 531-535.
12. KUKOLJ D, LEVI E. Identification of complex systems based on neural and Takagi-Sugeno fuzzy model[J]. IEEE Transactions on Systems, Man, and Cybernetics; Part B: Cybernetics, 2004, 34(1): 272-282.
13. SU Muchun, LAI E, TEW C Y. A SOM-based fuzzy system and its application in handwritten digit recognition[C]//Proceedings of International Symposium on Multimedia Software Engineering. Taipei: IEEE Comput Soc., 2000: 253-258.
14. CARPENTER G, GROSSBERG S, MAUKUZON N, et al. Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system[J]. Neural Networks, 1991, 4: 757-764.
15. TZAFESTAS S G, ZIKIDIS K C. Neuro FAST: on-line neuro-fuzzy ART-based structure and parameter learning TSK model[J]. IEEE Transactions on Systems, Man, and Cybernetics: Part B: Cybernetics, 2001, 31(5): 797-802.
16. CHEN Yixin, WANG J Z. Support vector learning for fuzzy rule-based classification systems[J]. IEEE Transactions on Fuzzy Systems, 2003, 11(6): 716-728.
17. CHIANG J H, Hao Peiyi. A new kernel-based fuzzy clustering approach: support vector clustering with cell growing[J]. IEEE Transactions on Fuzzy Systems, 2003, 11(4): 518-527.
18. KAIEDA K, ABE S. A kernel fuzzy classifier with ellipsoidal regions[C]//Proceedings of the International Joint Conference on Neural Networks. Portland: Institute of Electrical and Electronics Engineers Inc, 2003: 2043-2048.
19. WANG Lixin. Universal approximator by hierarchical fuzzy systems[J]. Fuzzy Sets and Systems, 1998, 93(2): 223-230.
20. SUN Duoqing, HUO Wei. Direct adaptive control based on hierarchical fuzzy systems[J]. Control and Decision, 2002, 17(4): 465-472.
21. SUN Duoqing, HUO Wei, YANG Xiao. Path following control of mobile robots with model uncertainty based on hierarchical fuzzy systems[J]. Control Theory and Applications, 2004, 21(4): 489-494.
22. LEE Mingling, CHUNG Hungyuan, YU Fangming. Modeling of hierarchical fuzzy systems[J]. Fuzzy Sets and Systems, 2003, 138(2): 343-361.
23. GABRIEL T R, BERTHOLD M R. Formation of hierarchical fuzzy rule systems[C]//Proc. of 22nd International Conference of the North American Fuzzy Information. Chicago: IEEE Press, 2003: 87-92.
24. CAMARGO H A, PIRES M G, CASTRO P A D. Genetic design of fuzzy knowledge bases-a study of different approaches[C]//Proc. NAFIPS'04 IEEE Annual Meeting of the Fuzzy Information[C]. Alberta: IEEE Press, 2004, 2: 954-959.
25. CASILLAS J, CORDON O, del JESUS M J. Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction[J]. IEEE Transactions on Fuzzy Systems, 2005, 13(1): 13-29.
26. LI Hesheng, MAO Jianqin, DAI Jiyang. Generalized Takagi-Sugeno fuzzy logical system optimal parameter identification based on genetic algorithm[J]. Acta Automatica Sinica, 2002, 28(4): 581-586.
27. SMITH S F. A learning system based on genetic adaptive algorithms[D]. Doctoral dissertation. Pittsburgh: University of Pittsburgh, 1980.
28. HOLLAND J H, REITMAN J S. Cognitive systems based on adaptive algorithms[M]. In: Waterman D A, Hayes-Roth F eds, Pattern-Directed Inference Systems. New York: Academic Press, 1978.
29. VENTURINI G. SIA: a supervised inductive algorithm with genetic search for learning attribute based concepts[C]//Proc. European Conference on Machine Learning. Viena: Springer-Verlag, 1993: 280-296.
30. BELIGIANNIS G N, SKARLAS L V, LIKOTHANASSIS S D. Nonlinear model structure identification of complex biomedical data using a genetic programming based technique[J]. IEEE Transactions on Instrumentation and Measurement, 2005, 54(6): 2184-2190.
31. TANG Yongchuan, HUANG Tianmin. The driven genetic selection mechanism[C]//2000 IEEE International Conference on Systems, Man, and Cybernetics. Nashville: IEEE Press, 2000(5): 3873-3876.
32. LIN Yinghua, GEORGE A C. A new approach to fuzzy-neural system modeling. IEEE Transactions on Fuzzy Systems[J]. 1995, 3(2): 190-198.
33. WANG Hui, XIAO Jian. T-S fuzzy system based on multi-resolution analysis[J]. Control Theory and Applications, 2005, 22(2): 325-329.
34. WANG Hui, XIAO Jian. Approximation capability of fuzzy system based on multi-resolution analysis[J]. Journal of Southwest Jiaotong University, 2004, 39(1): 26-30.
35. WANG Jun, PENG Hong, XIAO Jian. Position control for PM synchronous motor using fuzzy neural network[C]//Proc. of 2nd International Symposium on Neural Networks. Heidelberg: Springer Verlag, 2005, 3498(III): 179-184.