메뉴 건너뛰기




Volumn 46, Issue 3, 2007, Pages 788-800

Modeling a large-scale nonlinear system using adaptive Takagi-Sugeno fuzzy model on PCA subspace

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; DATA COMPRESSION; FUZZY SETS; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS;

EID: 33847325678     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie0511534     Document Type: Article
Times cited : (7)

References (25)
  • 2
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
    • Takagi, T.; Sugeno M. Fuzzy identification of systems and its application to modeling and control. IEEE Trans. Syst., Man Cybernetics 1985, 15, 116-132.
    • (1985) IEEE Trans. Syst., Man Cybernetics , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 3
    • 0015558134 scopus 로고
    • Outline of a new approach to the analysis of complex systems and decision processes
    • Zadeh, L. A. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. Syst., Man Cybernetics 1973, 3, 28-44.
    • (1973) IEEE Trans. Syst., Man Cybernetics , vol.3 , pp. 28-44
    • Zadeh, L.A.1
  • 4
    • 0001263821 scopus 로고    scopus 로고
    • Universal approximation by hierarchical fuzzy systems
    • Wang, L. Universal approximation by hierarchical fuzzy systems. Fuzzy Sets Syst. 1998, 93, 223-230.
    • (1998) Fuzzy Sets Syst , vol.93 , pp. 223-230
    • Wang, L.1
  • 6
    • 0034325513 scopus 로고    scopus 로고
    • Pattern classification with principal component analysis and fuzzy rule bases
    • Ravi, V.; Reddy, P. J.; Zimmermann, H. J. Pattern classification with principal component analysis and fuzzy rule bases. J. Eur. Operational Res. 2000, 126, 526-533.
    • (2000) J. Eur. Operational Res , vol.126 , pp. 526-533
    • Ravi, V.1    Reddy, P.J.2    Zimmermann, H.J.3
  • 10
    • 0030214781 scopus 로고    scopus 로고
    • The possibilistic c-means algorithm: Insights and recommendations
    • Krishnapuram, R.; Keller, J. M. The possibilistic c-means algorithm: insights and recommendations. IEEE Trans. Fuzzy Syst. 1996, 4, 385-393.
    • (1996) IEEE Trans. Fuzzy Syst , vol.4 , pp. 385-393
    • Krishnapuram, R.1    Keller, J.M.2
  • 11
    • 0030131491 scopus 로고    scopus 로고
    • Adaptive fuzzy pattern recognition in the anaerobic digestion process
    • Marsili-Libelli, S.; Müller A. Adaptive fuzzy pattern recognition in the anaerobic digestion process. Pattern Recognit. Lett. 1996, 17, 651 -659.
    • (1996) Pattern Recognit. Lett , vol.17 , pp. 651-659
    • Marsili-Libelli, S.1    Müller, A.2
  • 12
    • 0008707077 scopus 로고    scopus 로고
    • Adaptive fuzzy monitoring and fault detection
    • Marsili-Libelli, S. Adaptive fuzzy monitoring and fault detection. J. Int. COMADEM 1998, 1, 31-37.
    • (1998) J. Int. COMADEM , vol.1 , pp. 31-37
    • Marsili-Libelli, S.1
  • 13
    • 0033580018 scopus 로고    scopus 로고
    • Adaptive fuzzy c-means clustering in process monitoring
    • Teppola, P.; Mujunen S.; Minkkinen P. Adaptive fuzzy c-means clustering in process monitoring. Chemom. Intell. Syst. 1999, 45, 23-38.
    • (1999) Chemom. Intell. Syst , vol.45 , pp. 23-38
    • Teppola, P.1    Mujunen, S.2    Minkkinen, P.3
  • 14
    • 0141831911 scopus 로고    scopus 로고
    • Nonlinear modeling and adaptive monitoring with fuzzy and multivariate statistical methods in biological wastewater treatment plants
    • Yoo, C. K.; Vanrolleghem, P. A.; Lee, I. Nonlinear modeling and adaptive monitoring with fuzzy and multivariate statistical methods in biological wastewater treatment plants. J. Biotechnol. 2003, 105, 135-163.
    • (2003) J. Biotechnol , vol.105 , pp. 135-163
    • Yoo, C.K.1    Vanrolleghem, P.A.2    Lee, I.3
  • 16
    • 0035439162 scopus 로고    scopus 로고
    • Categorization of image databases for efficient retrieval using robust mixture decomposition
    • Medasani, S.; Krishnapuram, R. Categorization of image databases for efficient retrieval using robust mixture decomposition. Computer Vision Image Understanding 2001, 83, 216-235.
    • (2001) Computer Vision Image Understanding , vol.83 , pp. 216-235
    • Medasani, S.1    Krishnapuram, R.2
  • 18
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G. Estimating the dimension of a model. Ann. Stat. 1978, 6, 461-464.
    • (1978) Ann. Stat , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 20
    • 9244226534 scopus 로고    scopus 로고
    • Process monitoring using Bayesian classification on PCA subspace
    • Liu, J. Process monitoring using Bayesian classification on PCA subspace, Ind. Eng. Chem. Res. 2004, 43, 7815-7825.
    • (2004) Ind. Eng. Chem. Res , vol.43 , pp. 7815-7825
    • Liu, J.1
  • 21
    • 0030260017 scopus 로고    scopus 로고
    • A robust algorithm for automatic extraction of an unknown number of clusters from noisy data
    • Frigui, H.; Krishnapuram, R. A robust algorithm for automatic extraction of an unknown number of clusters from noisy data. Pattern Recognit. Lett. 1996, 17, 1223-1232.
    • (1996) Pattern Recognit. Lett , vol.17 , pp. 1223-1232
    • Frigui, H.1    Krishnapuram, R.2
  • 23
    • 0037191667 scopus 로고    scopus 로고
    • Nonlinear PLS modeling with fuzzy inference system
    • Bang, Y. H.; Yoo, C. K.; Lee, I. Nonlinear PLS modeling with fuzzy inference system. Chemom. Intell. Syst. 2003, 64, 137-155.
    • (2003) Chemom. Intell. Syst , vol.64 , pp. 137-155
    • Bang, Y.H.1    Yoo, C.K.2    Lee, I.3
  • 24
    • 0032044750 scopus 로고    scopus 로고
    • Recursive PLS algorithms for adaptive data modeling
    • Qin, S. J. Recursive PLS algorithms for adaptive data modeling. Comput. Chem. Eng. 1998, 22, 503-514.
    • (1998) Comput. Chem. Eng , vol.22 , pp. 503-514
    • Qin, S.J.1
  • 25
    • 0027698199 scopus 로고
    • Mathematical modeling, optimization, and quality control of high-pressure polymerization reactors
    • Kiparissides, C.; Verros, G.; MacGregor, J. F. Mathematical modeling, optimization, and quality control of high-pressure polymerization reactors. J. M. S-Rev. Macromol Chem. Phys. 1993, C33 (4), 437-527.
    • (1993) J. M. S-Rev. Macromol Chem. Phys , vol.C33 , Issue.4 , pp. 437-527
    • Kiparissides, C.1    Verros, G.2    MacGregor, J.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.