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Volumn 4, Issue 14, 2012, Pages 2147-2152

T-S Neural network model identification of ultra-supercritical units for superheater based on improved FCM

Author keywords

Model identification; Superheater; T S neural network; Ultra supercritical units

Indexed keywords

FCM ALGORITHM; FUNCTION PARAMETERS; GAUSSIANS; GENERALIZATION ABILITY; MODEL IDENTIFICATION; MODEL PARAMETERS; MULTIPLE INPUTS; NEURAL NETWORK MODEL; RECURSIVE LEAST SQUARES METHOD; SINGLE OUTPUT; SPACE DIVISION; ULTRA-SUPERCRITICAL UNITS;

EID: 84862732502     PISSN: 20407459     EISSN: 20407467     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (9)
  • 1
    • 38849114257 scopus 로고    scopus 로고
    • Identification from step responses with transient initial conditions
    • Ahmed, S., B. Huang and S.L. Shah, 2008. Identification from step responses with transient initial conditions. J. Process Contr., 18(1): 121-130.
    • (2008) J. Process Contr. , vol.18 , Issue.1 , pp. 121-130
    • Ahmed, S.1    Huang, B.2    Shah, S.L.3
  • 2
    • 79952235191 scopus 로고    scopus 로고
    • A system identification for t-s model based on neural network
    • Cai, W.J. and Z. Yin-Chao, 2006. A system identification for t-s model based on neural network. Contr. Automat., 22(2): 176-178.
    • (2006) Contr. Automat. , vol.22 , Issue.2 , pp. 176-178
    • Cai, W.J.1    Yin-Chao, Z.2
  • 3
    • 33646857021 scopus 로고    scopus 로고
    • Bias compensation based recursive least-squares identification algorithm for MISO systems
    • Feng, D., C. Tongwen and Q. Li, 2006. Bias compensation based recursive least-squares identification algorithm for MISO systems. IEEE T. Syst-II, 53(5): 349-353.
    • (2006) IEEE T. Syst-II , vol.53 , Issue.5 , pp. 349-353
    • Feng, D.1    Tongwen, C.2    Li, Q.3
  • 4
    • 33947214088 scopus 로고    scopus 로고
    • Dentification method of T-S fuzzy system and its application in superheated steam
    • Hong-jun, L.I.U., W. Na and H. Pu, 2005. Dentification method of T-S fuzzy system and its application in superheated steam. J. North China Electric Power Univ., 32(5): 47-51.
    • (2005) J. North China Electric Power Univ. , vol.32 , Issue.5 , pp. 47-51
    • Hong-jun, L.I.U.1    Na, W.2    Pu, H.3
  • 6
    • 69849100855 scopus 로고    scopus 로고
    • Neural network-based imc-pid controller design for main steam temperature of a power plant
    • Advances in Neural Networks-Part-II
    • Mehdi, A.N. and Y. Alireza, 2009. Neural network-based imc-pid controller design for main steam temperature of a power plant. Proceeding of the 6th International Symposium on Neural Networks: Advances in Neural Networks-Part-II, pp: 1059-1068.
    • (2009) Proceeding of the 6th International Symposium on Neural Networks , pp. 1059-1068
    • Mehdi, A.N.1    Alireza, Y.2
  • 7
    • 34250307184 scopus 로고    scopus 로고
    • Stable Adaptive Predictive Functional Control of Main Steam Temperature
    • Ming-zhu, X., L.I.U. He-Ping and L.I. Xiao-li, 2007. Stable Adaptive Predictive Functional Control of Main Steam Temperature. Proceedings of the CSEE, 27(11): 88-92.
    • (2007) Proceedings of the CSEE , vol.27 , Issue.11 , pp. 88-92
    • Ming-zhu, X.1    He-Ping, L.I.U.2    Xiao-li, L.I.3
  • 9
    • 66149178824 scopus 로고    scopus 로고
    • Research on generalized fuzzy c-means clustering algorithm with improved fuzzy partitions
    • Zhu, L., W. Shi-tong and D. Zhao-hong, 2009. Research on generalized fuzzy c-means clustering algorithm with improved fuzzy partitions. J. Comput. Res. Dev., 46(5): 814-822.
    • (2009) J. Comput. Res. Dev. , vol.46 , Issue.5 , pp. 814-822
    • Zhu, L.1    Shi-tong, W.2    Zhao-hong, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.