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Volumn 6, Issue 2, 2004, Pages 71-80

Rule extraction through exploratory data analysis for self-tuning fuzzy controllers

Author keywords

Fuzzy Clustering; Fuzzy Rule Extraction; Self tuning Controller; System Identification

Indexed keywords

CONTROL EQUIPMENT; DATA REDUCTION; IDENTIFICATION (CONTROL SYSTEMS); LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; TUNING;

EID: 3142697137     PISSN: 15622479     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (25)
  • 1
    • 0010030689 scopus 로고
    • Application of compatible cluster merging to fuzzy modeling of multivariable systems
    • Aachen
    • R. Babuska and U. Kaymak, "Application of Compatible Cluster Merging to Fuzzy Modeling of Multivariable Systems," Proc. EUFIT95, Aachen, pp. 565-569, 1995.
    • (1995) Proc. EUFIT95 , pp. 565-569
    • Babuska, R.1    Kaymak, U.2
  • 4
    • 0030283350 scopus 로고    scopus 로고
    • Radial basis function based adaptive fuzzy systems and their applications to system identification and prediction
    • K. B. Cho and B. H. Wang, "Radial Basis Function Based Adaptive Fuzzy Systems and Their Applications to System Identification and Prediction," Fuzzy Sets and Systems, Vol. 83, No. 3, pp. 325-339, 1996.
    • (1996) Fuzzy Sets and Systems , vol.83 , Issue.3 , pp. 325-339
    • Cho, K.B.1    Wang, B.H.2
  • 5
    • 0031146974 scopus 로고    scopus 로고
    • A fuzzy clustering based rapid-prototyping for fuzzy modeling
    • M. Delgado, A. F. Gomez- Skarmeta and F. Martin, "A Fuzzy Clustering Based Rapid-prototyping for Fuzzy Modeling," IEEE Trans. Fuzzy Systems, Vol. 5, No. 2, pp. 223-233, 1997.
    • (1997) IEEE Trans. Fuzzy Systems , vol.5 , Issue.2 , pp. 223-233
    • Delgado, M.1    Gomez-Skarmeta, A.F.2    Martin, F.3
  • 7
    • 0001404416 scopus 로고
    • A new method of choosing the number of clusters for the fuzzy cmeans method
    • Japan
    • Y. Fukuyama and M. Sugeno, "A New Method of Choosing the Number of Clusters for the Fuzzy Cmeans Method," Proc. 5th Fuzzy Sysems Symposium, Japan, pp. 247-250, 1989.
    • (1989) Proc. 5th Fuzzy Sysems Symposium , pp. 247-250
    • Fukuyama, Y.1    Sugeno, M.2
  • 8
    • 0024701488 scopus 로고
    • Unsupervised optimal fuzzy clustering
    • I. Gath and A. B. Geva, "Unsupervised Optimal Fuzzy Clustering," IEEE Trans. Patt. Anal. Mach Intell., Vol. 11, No. 7, pp. 773-781, 1989.
    • (1989) IEEE Trans. Patt. Anal. Mach Intell. , vol.11 , Issue.7 , pp. 773-781
    • Gath, I.1    Geva, A.B.2
  • 9
    • 0000442369 scopus 로고    scopus 로고
    • Fuzzy clustering with a fuzzy covariance matrix
    • Barcelona
    • D. E. Gustafson and W. C. Kesel, "Fuzzy Clustering with a Fuzzy Covariance matrix", Proc. FUZZ-IEEE'97, Barcelona, pp. 761-766, 1997.
    • (1997) Proc. FUZZ-IEEE'97 , pp. 761-766
    • Gustafson, D.E.1    Kesel, W.C.2
  • 10
    • 0027647031 scopus 로고
    • Switching regression models and fuzzy clustering
    • R. J. Hathaway and J. C. Bezdek, "Switching Regression Models and Fuzzy Clustering," IEEE Trans. Fuzzy Systems, Vol. 1, No. 3, pp. 195-204, 1993.
    • (1993) IEEE Trans. Fuzzy Systems , vol.1 , Issue.3 , pp. 195-204
    • Hathaway, R.J.1    Bezdek, J.C.2
  • 13
    • 0031208215 scopus 로고    scopus 로고
    • A new approach to fuzzy modeling
    • E. Kim, M. Park, S. Ji, and M. Park, "A New Approach to Fuzzy Modeling," IEEE Trans. Fuzzy Systems, Vol. 5, No. 3, pp. 328-337, 1997.
    • (1997) IEEE Trans. Fuzzy Systems , vol.5 , Issue.3 , pp. 328-337
    • Kim, E.1    Park, M.2    Ji, S.3    Park, M.4
  • 14
    • 0026850464 scopus 로고
    • Fitting an unknown number of lines and planes to image data through compatible cluster merging
    • R. Krishnapuram and C. P. Freg, "Fitting an Unknown Number of Lines and Planes to Image Data through Compatible Cluster Merging," Patt. Recogn, Vol. 25, No. 4, pp. 385-400, 1993.
    • (1993) Patt. Recogn , vol.25 , Issue.4 , pp. 385-400
    • Krishnapuram, R.1    Freg, C.P.2
  • 15
    • 0034299691 scopus 로고    scopus 로고
    • A self-tuning fuzzy PI controller
    • R. K. Mudi and N. R. Pal, "A Self-Tuning Fuzzy PI Controller," Fuzzy Sets & Systems, Vol. 115, No. 2, pp. 327-338, 2000.
    • (2000) Fuzzy Sets & Systems , vol.115 , Issue.2 , pp. 327-338
    • Mudi, R.K.1    Pal, N.R.2
  • 16
    • 0028485818 scopus 로고
    • Identification of fuzzy prediction models through hyperellipsoidal clustering
    • Y. Nakamori and M. Royke, "Identification of Fuzzy Prediction Models through Hyperellipsoidal Clustering," IEEE Trans. Syst. Man and Cybern., Vol. 24, No. 8, pp. 1153-1173, 1994.
    • (1994) IEEE Trans. Syst. Man and Cybern. , vol.24 , Issue.8 , pp. 1153-1173
    • Nakamori, Y.1    Royke, M.2
  • 17
    • 3142729450 scopus 로고
    • Adaptive fuzzy clustering for fuzzy modeling
    • Sao Paulo
    • Y. Nakamori and M. Ryoke, "Adaptive Fuzzy Clustering for Fuzzy Modeling", Proc. of the VI IFSA World Congress, Sao Paulo, Vol. II, pp 65-68, 1995.
    • (1995) Proc. of the VI IFSA World Congress , vol.2 , pp. 65-68
    • Nakamori, Y.1    Ryoke, M.2
  • 18
    • 0030651072 scopus 로고    scopus 로고
    • Some issues in system identification using clustering
    • Houston, USA
    • N. R. Pal, K. Pal, J. C. Bezdek and T. Runkler, "Some Issues in System Identification Using Clustering," Proc. IJCNN'97, Houston, USA, pp. 2524-2529, 1997.
    • (1997) Proc. IJCNN'97 , pp. 2524-2529
    • Pal, N.R.1    Pal, K.2    Bezdek, J.C.3    Runkler, T.4
  • 19
    • 0029360028 scopus 로고
    • On cluster validity for the fuzzy C-means Mmodel
    • N. R. Pal and J. C. Bezdek, "On Cluster Validity for the Fuzzy C-means Mmodel," IEEE Trans. Fuzzy Systs., Vol. 3, No. 3, pp. 370-379, 1995.
    • (1995) IEEE Trans. Fuzzy Systs. , vol.3 , Issue.3 , pp. 370-379
    • Pal, N.R.1    Bezdek, J.C.2
  • 20
    • 0030385717 scopus 로고    scopus 로고
    • Identification of nonlinear systems using regular fuzzy C-elliptotype clustering
    • New Orleans
    • T. A. Runkler and R. H. Palm, "Identification of Nonlinear Systems Using Regular Fuzzy C-elliptotype Clustering," Proc. FUZZ-IEEE'96, New Orleans, pp. 1026-1030 1996.
    • (1996) Proc. FUZZ-IEEE'96 , pp. 1026-1030
    • Runkler, T.A.1    Palm, R.H.2
  • 21
    • 0027186778 scopus 로고
    • Fuzzy system design through fuzzy clustering and optimal predefuzzification
    • San Francisco, USA
    • S. K. Sin and R. P. J. deFigueiredo, "Fuzzy System Design through Fuzzy Clustering and Optimal Predefuzzification," Proc. FUZZ-IEEE'93, San Francisco, USA, pp. 190-195, 1993.
    • (1993) Proc. FUZZ-IEEE'93 , pp. 190-195
    • Sin, S.K.1    DeFigueiredo, R.P.J.2
  • 22
    • 0027544110 scopus 로고
    • A fuzzy-logic-based approach to qualitative modeling
    • M. Sugeno and T. Yasukawa, "A Fuzzy-logic-based Approach to Qualitative Modeling," IEEE Trans. Fuzzy Systems, Vol. 1, No. 1, pp. 7-31, 1993.
    • (1993) IEEE Trans. Fuzzy Systems , vol.1 , Issue.1 , pp. 7-31
    • Sugeno, M.1    Yasukawa, T.2
  • 23
    • 0026204245 scopus 로고
    • Validity measure for fuzzy clustering
    • X. L. Xie and G. A. Beni, "Validity Measure for Fuzzy Clustering," IEEE Trans. Patt. Anal. Mach. Intell., Vol. 3, No. 8, pp. 841-846, 1991.
    • (1991) IEEE Trans. Patt. Anal. Mach. Intell. , vol.3 , Issue.8 , pp. 841-846
    • Xie, X.L.1    Beni, G.A.2
  • 24
    • 84974755191 scopus 로고
    • Generation of fuzzy rules by mountain clustering
    • R. R. Yager and D. P. Filev, "Generation of Fuzzy Rules by Mountain Clustering," J. Intelligent and Fuzzy Systems, Vol. 2, pp. 209-219, 1994.
    • (1994) J. Intelligent and Fuzzy Systems , vol.2 , pp. 209-219
    • Yager, R.R.1    Filev, D.P.2
  • 25
    • 0004683439 scopus 로고
    • Construction of fuzzy models through clustering techniques
    • Y. Yoshinari, W. Pedrycz and K. Hirota, "Construction of Fuzzy Models Through Clustering Techniques," Fuzzy Sets and Systems, Vol. 54, No. 2, pp. 157-166, 1993
    • (1993) Fuzzy Sets and Systems , vol.54 , Issue.2 , pp. 157-166
    • Yoshinari, Y.1    Pedrycz, W.2    Hirota, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.