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Volumn 21, Issue 8, 2008, Pages 1321-1329

Identification of piecewise affine systems by means of fuzzy clustering and competitive learning

Author keywords

Competitive learning; Delaunay triangulation; Fuzzy clustering; Hybrid systems; System identification

Indexed keywords

FLOW OF SOLIDS; FUZZY SETS; FUZZY SYSTEMS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; OPTICAL PROJECTORS; REGRESSION ANALYSIS; TREES (MATHEMATICS);

EID: 54049128469     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2008.03.014     Document Type: Article
Times cited : (42)

References (30)
  • 1
    • 54049129790 scopus 로고    scopus 로고
    • Aroba, J., 2003. Advances in the decision making in software development projects. Ph.D. Thesis, University of Seville.
    • Aroba, J., 2003. Advances in the decision making in software development projects. Ph.D. Thesis, University of Seville.
  • 6
    • 0026857178 scopus 로고
    • Competitive learning based approaches to tool-wear identification
    • Burke L. Competitive learning based approaches to tool-wear identification. IEEE Transactions on Systems, Man and Cybernetics 22 (1992) 559-563
    • (1992) IEEE Transactions on Systems, Man and Cybernetics , vol.22 , pp. 559-563
    • Burke, L.1
  • 7
    • 0032098032 scopus 로고    scopus 로고
    • An adaptive fuzzy neural network for mimo system model approximation in high-dimensional spaces
    • Chak C., Feng G., and Ma J. An adaptive fuzzy neural network for mimo system model approximation in high-dimensional spaces. IEEE Transactions on Systems, Man and Cybernetics 28 (1998) 436-446
    • (1998) IEEE Transactions on Systems, Man and Cybernetics , vol.28 , pp. 436-446
    • Chak, C.1    Feng, G.2    Ma, J.3
  • 8
    • 0032070502 scopus 로고    scopus 로고
    • Nonlinear system modeling by competitive learning and adaptive fuzzy inference system
    • Chen J., and Xi Y. Nonlinear system modeling by competitive learning and adaptive fuzzy inference system. IEEE Transactions on Systems, Man and Cybernetics 28 (1998) 231-238
    • (1998) IEEE Transactions on Systems, Man and Cybernetics , vol.28 , pp. 231-238
    • Chen, J.1    Xi, Y.2
  • 9
    • 0037293274 scopus 로고    scopus 로고
    • A clustering technique for the identification of piecewise affine systems
    • Ferrari-Trecate G., Muselli M., Liberati D., and Morari M. A clustering technique for the identification of piecewise affine systems. Automatica 39 (2003) 205-217
    • (2003) Automatica , vol.39 , pp. 205-217
    • Ferrari-Trecate, G.1    Muselli, M.2    Liberati, D.3    Morari, M.4
  • 10
    • 54049123429 scopus 로고    scopus 로고
    • Fukuyama, Y., Sugeno, M., June 1989. A new method of choosing the number of clusters for fuzzy c-means method. In: Proceedings of the 5th Fuzzy Systems Symposium, vol. 1, Kobe, Japan, June, pp. 247-250.
    • Fukuyama, Y., Sugeno, M., June 1989. A new method of choosing the number of clusters for fuzzy c-means method. In: Proceedings of the 5th Fuzzy Systems Symposium, vol. 1, Kobe, Japan, June, pp. 247-250.
  • 12
    • 0017120827 scopus 로고
    • Adaptative pattern classfication and universal recoding, i: parallel development and coding of neural features detectors
    • Grossberg S. Adaptative pattern classfication and universal recoding, i: parallel development and coding of neural features detectors. Biological Cybernetics 23 (1976) 121-134
    • (1976) Biological Cybernetics , vol.23 , pp. 121-134
    • Grossberg, S.1
  • 13
    • 5244352553 scopus 로고
    • Competitive learning: from iterative activation to adaptive resonance
    • Grossberg S. Competitive learning: from iterative activation to adaptive resonance. Cognitive Science 11 1 (1987) 23-83
    • (1987) Cognitive Science , vol.11 , Issue.1 , pp. 23-83
    • Grossberg, S.1
  • 14
    • 0343844770 scopus 로고
    • Randomized incremental construction of Delaunay and Voronoi diagrams
    • Guibas K.D., and Sharir M. Randomized incremental construction of Delaunay and Voronoi diagrams. Algorithmica 9 (1992) 534-560
    • (1992) Algorithmica , vol.9 , pp. 534-560
    • Guibas, K.D.1    Sharir, M.2
  • 15
    • 0023515080 scopus 로고
    • Counterpropagation networks
    • Hecht-Nielsen R. Counterpropagation networks. Applied Optics 26 23 (1987) 4979-4984
    • (1987) Applied Optics , vol.26 , Issue.23 , pp. 4979-4984
    • Hecht-Nielsen, R.1
  • 17
    • 10744221429 scopus 로고    scopus 로고
    • A contribution to convergence theory of fuzzy c-means and derivatives
    • Hoppner F., and Klawonn F. A contribution to convergence theory of fuzzy c-means and derivatives. IEEE Transactions on Fuzzy Systems 11 5 (2003) 682-694
    • (2003) IEEE Transactions on Fuzzy Systems , vol.11 , Issue.5 , pp. 682-694
    • Hoppner, F.1    Klawonn, F.2
  • 19
    • 0036531325 scopus 로고    scopus 로고
    • Reducing the time complexity of the fuzzy c-means algorithm
    • Kolen J., and Hutcheson T. Reducing the time complexity of the fuzzy c-means algorithm. IEEE Transactions on Fuzzy Systems 10 2 (2002) 263-267
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.2 , pp. 263-267
    • Kolen, J.1    Hutcheson, T.2
  • 20
    • 14844363429 scopus 로고    scopus 로고
    • Identification of piecewise affine systems based on statistical clustering technique
    • Nakada H., Takaba K., and Katayama T. Identification of piecewise affine systems based on statistical clustering technique. Automatica 41 (2005) 905-913
    • (2005) Automatica , vol.41 , pp. 905-913
    • Nakada, H.1    Takaba, K.2    Katayama, T.3
  • 21
    • 54049148722 scopus 로고    scopus 로고
    • Ng, R., Han, J., 1994. Efficient and effective clustering methods for spatial data mining. In: Proceedings of the 20th International Conference on Very Large Data Bases. vol. 1, Chile, September, pp. 144-155.
    • Ng, R., Han, J., 1994. Efficient and effective clustering methods for spatial data mining. In: Proceedings of the 20th International Conference on Very Large Data Bases. vol. 1, Chile, September, pp. 144-155.
  • 23
    • 54049110541 scopus 로고    scopus 로고
    • Roll, J., 2003. Local and piecewise affine approaches to system identification. Ph.D. Thesis, Department of Electrical Engineering, Linköping University, Linköping, Sweden.
    • Roll, J., 2003. Local and piecewise affine approaches to system identification. Ph.D. Thesis, Department of Electrical Engineering, Linköping University, Linköping, Sweden.
  • 24
    • 0242440101 scopus 로고    scopus 로고
    • Identification of piecewise affine systems via mixed-integer programming
    • Roll J., Bemporad A., and Ljung L. Identification of piecewise affine systems via mixed-integer programming. Automatica 40 (2004) 37-50
    • (2004) Automatica , vol.40 , pp. 37-50
    • Roll, J.1    Bemporad, A.2    Ljung, L.3
  • 25
    • 0002656190 scopus 로고
    • Feature discovery by competitive learning
    • Rumelhart D., and Zipser D. Feature discovery by competitive learning. Cognitive Science 9 (1985) 75-112
    • (1985) Cognitive Science , vol.9 , pp. 75-112
    • Rumelhart, D.1    Zipser, D.2
  • 26
    • 54049147901 scopus 로고    scopus 로고
    • Sato, M., Sato, Y., Jain, L., 1997. Fuzzy Clustering Models and Applications. Heidelberg, Germany.
    • Sato, M., Sato, Y., Jain, L., 1997. Fuzzy Clustering Models and Applications. Heidelberg, Germany.
  • 27
    • 54049134183 scopus 로고    scopus 로고
    • Seidel, R., 1986. Constructing higher-dimensional convex hulls at logarithmic cost per face. In: Proceedings of the 18th Annual ACM Symposium on Theory of Computing. Berkeley, California, US, May, pp. 404-413.
    • Seidel, R., 1986. Constructing higher-dimensional convex hulls at logarithmic cost per face. In: Proceedings of the 18th Annual ACM Symposium on Theory of Computing. Berkeley, California, US, May, pp. 404-413.
  • 28
    • 54049119782 scopus 로고    scopus 로고
    • Seidel, R., 1991. Exact upper bounds for the number of faces in d-dimensional Voronoi diagram. In: Gritzmann, P., Sturmfels, B. (Eds.), Proceedings of the 18th Annual ACM Symposium on Theory of Computing. pp. 517-529.
    • Seidel, R., 1991. Exact upper bounds for the number of faces in d-dimensional Voronoi diagram. In: Gritzmann, P., Sturmfels, B. (Eds.), Proceedings of the 18th Annual ACM Symposium on Theory of Computing. pp. 517-529.
  • 30
    • 24944536258 scopus 로고    scopus 로고
    • Zhang, Q., Couloigner, I., 2005. A new and efficient k-medoid algorithm for spatial clustering. In: Proceedings of the International Conference on Computational Science and Its Applications. vol. 3482. Singapore, May, pp. 181-189.
    • Zhang, Q., Couloigner, I., 2005. A new and efficient k-medoid algorithm for spatial clustering. In: Proceedings of the International Conference on Computational Science and Its Applications. vol. 3482. Singapore, May, pp. 181-189.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.