SVM clustering for identification of Takagi-Sugeno fuzzy models

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 36, Issue 12, 2003, Pages 209-214

  González Mendoza, Miguel ^a,b,c   Hernández Gress, Neil ^a,c   Titli, André ^a,b  

^a LAAS CNRS   (France)

^b INSA   (France)

^c SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

Author keywords

Fuzzy clustering; MIMO systems; Nonlinear identification; Support Vector Machines (SVM); Takagi Sugeno (TS) fuzzy models

Indexed keywords

FUZZY CLUSTERING; MIMO SYSTEMS; SUPPORT VECTOR MACHINES; WASTE TREATMENT; WASTEWATER TREATMENT; WATER TREATMENT;

DENSITY ESTIMATION; FUZZY MODELS; IDENTIFICATION PROCEDURE; IDENTIFICATION TECHNIQUES; LIFE PROCESS; NON-STATIONARY DYNAMICS; NONLINEAR IDENTIFICATIONS; TAKAGI-SUGENO FUZZY MODELS;

CLUSTERING ALGORITHMS;

EID: 33646793273     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)32537-5     Document Type: Conference Paper

References (12)

1. Babuska, Robert et al. (1998). Identification o f MIMO systems by input-output TS fuzzy models. IEEE International Conference on Fuzzy Systems. Pag. 657-662, Anchorage, Alaska.
2. Babuska, Robert and Verbruggen, H. B. (1994). Applied fuzzy modelling. In proceedings IFAC Symposium on Artificial Intelligence in Real Time Control, pag. 61-66, Valencia, Spain.
3. Chiu, S. L. (1994). Fuzzy model identification based on cluster estimation. Journal of Intelligent Fuzzy Systems, vol. 2, pag. 267-278.
4. Gonzalez, Miguel et al. (2001). Boosting up Support Vector Machines in Density Estimation Problems. IPMU 2002, pag. 1453-1457, Annecy, France.
5. Guillaume, S. (2001). Designing Fuzzy Inferen-ce Systems from Data: An Interpretability-Oriented Review. IEEE Transactions on Fuzzy Systems, 9(3): 426-443.
6. Gustafson, D. and Kessel, W. (1979). Fuzzy clustering with a fuzzy covariance matrix. In Proc. IEEE CDC, pag. 761-766, San Diego, USA.
7. Youssef, C. Ben (1997). Benchmark of a wastewater treatment process. LAAS Rep. 97458. Contrat FAMIMO, November.
8. Scholkopf, Bemhard et al. (1999). Estimating the Support of a High-Dimensional Distribution. Technical Report Microsoft Research. 27 November 1999.
9. Takagi, T. and Sugeno, M. (1985). Fuzzy identification of systems and its application to modelling and control. IEEE Transaction on Systems, Man and Cybernetics, 15(1): 116- 132.
10. Takagi, T. and Yasukawa, T. (1993). A fuzzy logic approach to qualitative modelling. IEEE Trans, Fuzzy Systems, 1:7-31, 1993.
11. Titli, A. (2001). Logique floue et systemes flous. Notes de cours de l'Institut National des Sciences Appliquees, Toulouse, France.
12. Vapnik, Vladimir N. (1998). Statistical Learning Theory. Wiley-Interscience.