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Volumn , Issue , 2007, Pages 283-288

Design an intelligent neural-fuzzy controller for hybrid motorcycle

Author keywords

Fuzzy; Hybrid vehicle; Radial Basis Function (rbf) neural network; Self tuning PID controller

Indexed keywords

COMPUTER SIMULATION; MATLAB; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; TUNING; VEHICLES;

EID: 35148854600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2007.383852     Document Type: Conference Paper
Times cited : (8)

References (24)
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    • G. Maggetto, and J. V. Mierlo, "Electric and Electric Hybrid Vehicle Technology: A Survey," IEE Seminar, Electric, Hybrid and Fuel Cell Vehicles (Ref. No. 2000/050), pp. 1/1 - 1/11, Apr. 2000.
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    • Lee, C.C.1
  • 18
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    • Learning and tuning fuzzy logic controllers through reinforcements
    • H. R. Berenji and P. Khedkar, "Learning and tuning fuzzy logic controllers through reinforcements," IEEE Transactions on Neural Networks, vol. 3, No. 5, pp. 724-740, 1992.
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  • 20
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    • Gomm, J.B.1    Yu, D.L.2
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    • Application of radial basis function network for solar-array modelling and maximum power-point prediction
    • Sep
    • A. Al-Amoudi and L. Zhang, "Application of radial basis function network for solar-array modelling and maximum power-point prediction," IEE Proceedings - Generation, Transmission and Distribution, vol. 147, pp. 310-316, Sep. 2000.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.