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Volumn , Issue , 2015, Pages 2485-2490

The research of loading model of eddy current dynamometer based on DRNN with double hidden layers

Author keywords

DRNN; Dynamometer; Loading model

Indexed keywords

DYNAMOMETERS; EDDY CURRENTS; LEAST SQUARES APPROXIMATIONS; RECURRENT NEURAL NETWORKS;

EID: 84945535170     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2015.7162339     Document Type: Conference Paper
Times cited : (3)

References (9)
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  • 3
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    • A study on adaptive control for eddy current dynamometer [J]
    • Ge Anlin, Li Yongjun. A study on adaptive control for eddy current dynamometer [J]. Automotive Engineering, 2000, 22(3): 210-213.
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    • Anlin, G.1    Yongjun, L.2
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    • Neural network modeling and generalized predictive control for Giant Magnetostrictive actuators[C]
    • Chinese,IEEE
    • Hu S F, Zhu S J, Zhong M J, et al. Neural network modeling and generalized predictive control for Giant Magnetostrictive actuators[C]//Control and Decision Conference, 2009. CCDC'09. Chinese. IEEE, 2009: 2981-2985.
    • (2009) Control and Decision Conference, 2009. CCDC'09 , pp. 2981-2985
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    • Control algorithm for chassis dynamometer based on RBF neural network [J]
    • CHAO Zhiqiang, WAN Zhigang, JIANG Pengcheng, et al. Control algorithm for chassis dynamometer based on RBF neural network [J]. CHINESE JOURNAL OF CONSTRUCTION MACHINERY, 2012, 10(1): 93-98.
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    • Self-tuning PID decoupling controller based on DRNN with Double Hidden Layers [J]
    • WU Xinggang, JIANG changhong, JIANG nan. Self-tuning PID decoupling controller based on DRNN with Double Hidden Layers [J]. Computer Simulation, 2005, 22(6): 112-114.
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    • Wu, X.1    Jiang, C.2    Jiang, N.3
  • 9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.