메뉴 건너뛰기




Volumn 41, Issue 2, 2005, Pages 327-332

Identification of dynamical systems with a robust interval fuzzy model

Author keywords

Fuzzy model; Interval fuzzy model; Linear programming; Min max optimization

Indexed keywords

ERROR ANALYSIS; FUZZY CONTROL; LINEAR PROGRAMMING; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; SET THEORY;

EID: 23844431626     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2004.09.010     Document Type: Article
Times cited : (98)

References (14)
  • 3
    • 0000159475 scopus 로고
    • Detection and characterization of cluster substructure, I. Linear structure: Fuzzy c-lines
    • Bezdek, J. C., Coray, C., Gunderson, R., & Watson, J. (1981a). Detection and characterization of cluster substructure, I. Linear structure: Fuzzy c-lines. SIAM Journal of Applied Mathematics, 40(2), 339-357.
    • (1981) SIAM Journal of Applied Mathematics , vol.40 , Issue.2 , pp. 339-357
    • Bezdek, J.C.1    Coray, C.2    Gunderson, R.3    Watson, J.4
  • 4
    • 0000159475 scopus 로고
    • Detection and characterization of cluster substructure, II. Linear structure: Fuzzy c-varieties and convex combination thereof
    • Bezdek, J. C., Coray, C., Gunderson, R., & Watson, J. (1981b). Detection and characterization of cluster substructure, II. Linear structure: Fuzzy c-varieties and convex combination thereof. SIAM Journal of Applied Mathematics, 40(2), 358-372.
    • (1981) SIAM Journal of Applied Mathematics , vol.40 , Issue.2 , pp. 358-372
    • Bezdek, J.C.1    Coray, C.2    Gunderson, R.3    Watson, J.4
  • 9
    • 0028532753 scopus 로고
    • Fuzzy systems as universal approximates
    • Kosko, B. (1994). Fuzzy systems as universal approximates. IEEE Transactions on Computers, 43(11), 1329-1333.
    • (1994) IEEE Transactions on Computers , vol.43 , Issue.11 , pp. 1329-1333
    • Kosko, B.1
  • 10
    • 0031151848 scopus 로고    scopus 로고
    • Siso nonlinear system identification using a fuzzy-neural hybrid system
    • Lin, C.-H. (1997). Siso nonlinear system identification using a fuzzy-neural hybrid system. International Journal of Neural Systems, 8(3), 325-337.
    • (1997) International Journal of Neural Systems , vol.8 , Issue.3 , pp. 325-337
    • Lin, C.-H.1
  • 11
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modelling and control
    • Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modelling and control. IEEE Transactions on Systems, Man, and Cybernetics, 15, 116-132.
    • (1985) IEEE Transactions on Systems, Man, and Cybernetics , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 13
    • 0026928374 scopus 로고
    • Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
    • Wang, L.-X., & Mendel, J. M. (1992). Fuzzy basis functions, universal approximation, and orthogonal least-squares learning. IEEE Transactions on Neural Networks, 3(5), 807-814.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.5 , pp. 807-814
    • Wang, L.-X.1    Mendel, J.M.2
  • 14
    • 0031187917 scopus 로고    scopus 로고
    • Necessary conditions for some typical fuzzy systems as universal approximates
    • Ying, H. G. C. (1997). Necessary conditions for some typical fuzzy systems as universal approximates. Automatica, 33, 1333-1338.
    • (1997) Automatica , vol.33 , pp. 1333-1338
    • Ying, H.G.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.