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Volumn 38, Issue 9, 2004, Pages 1581-1586

Modeling and novel adaptive fuzzy neural network control of proton exchange membrane fuel cell (PEMFC)

Author keywords

Adaptive neural networks fuzzy infer system (ANFIS); Adaptive neural networks learning algorithm (ANA); Nearest neighbor clustering algorithm (NCA); Proton exchange membrane fuel cell (PEMFC)

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; FUZZY CONTROL; LEARNING ALGORITHMS; NEURAL NETWORKS; PROTONS;

EID: 10644234872     PISSN: 10062467     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (9)
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    • Quantum jumps in the PEMFC science and technology from the 1960s to the year 2000
    • Costamagna P, Srinivasan S. Quantum jumps in the PEMFC science and technology from the 1960s to the year 2000 [J]. Power Sources, 2001, 102: 253-269.
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    • Costamagna, P.1    Srinivasan, S.2
  • 2
    • 0035033852 scopus 로고    scopus 로고
    • Transport phenomena in polymeric membrane fuel cell
    • Costamagna P. Transport phenomena in polymeric membrane fuel cell [J]. Chemical Engineering Science, 2001, 56: 323-332.
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    • Costamagna, P.1
  • 3
    • 0035702635 scopus 로고    scopus 로고
    • Mathematical modeling of proton membrane fuel cells
    • Rowe A, Li Xianguo. Mathematical modeling of proton membrane fuel cells [J]. Power Source, 2001, 102: 82-96.
    • (2001) Power Source , vol.102 , pp. 82-96
    • Rowe, A.1    Li, X.2
  • 4
    • 0033341495 scopus 로고    scopus 로고
    • Fuzzy neural networks for identification and control of ultrasonic motor drive with LLCC resonant technique
    • Lin Fa-Jeng, Wai Rong-Jong, Duan Rou-Yong. Fuzzy neural networks for identification and control of ultrasonic motor drive with LLCC resonant technique [J]. IEEE Trans on Industrial Electronics, 1999, 46(5): 1331-1342.
    • (1999) IEEE Trans on Industrial Electronics , vol.46 , Issue.5 , pp. 1331-1342
    • Lin, F.-J.1    Wai, R.-J.2    Duan, R.-Y.3
  • 5
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
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    • Takagi, T.1    Sugeno, M.2
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    • Back-propagation fuzzy system as nonlinear dynamic system identifiers
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    • Wang L X, Mendel J M. Back-propagation fuzzy system as nonlinear dynamic system identifiers [A]. IEEE International Conf on Fuzzy Systems [C]. San Diego: [s.n.], 1992. 1409-1418.
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    • Wang, L.X.1    Mendel, J.M.2
  • 8
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    • An experiment in linguistic synthesis with a fuzzy logic controller
    • Mamdani E H. An experiment in linguistic synthesis with a fuzzy logic controller [J]. Man-Machine Studies, 1975, 7: 1-13.
    • (1975) Man-Machine Studies , vol.7 , pp. 1-13
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  • 9
    • 0027303425 scopus 로고
    • Training of fuzzy logic systems using nearest neighborhood clustering, fuzzy systems
    • San Francisco: CA
    • Wang L X. Training of fuzzy logic systems using nearest neighborhood clustering, fuzzy systems [A]. Second IEEE International Conf on Fuzzy Systems [C]. San Francisco: CA, 1993. 13-17.
    • (1993) Second IEEE International Conf on Fuzzy Systems , pp. 13-17
    • Wang, L.X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.