Neural network based self-learning control strategy for electronic throttle valve

IEEE Transactions on Vehicular Technology

Volumn 59, Issue 8, 2010, Pages 3757-3765

  Yuan, Xiaofang ^a   Wang, Yaonan ^a   Wu, Lianghong ^a   Zhang, Xizheng ^a,b   Sun, Wei ^a  

^a HUNAN UNIVERSITY   (China)

^b HUNAN INSTITUTE OF ENGINEERING   (China)

Author keywords

Electronic throttle valve; fuzzy neural network (FNN); nonlinear control; recurrent neural network (RNN); self learning

Indexed keywords

ELECTRONIC THROTTLE; ELECTRONIC THROTTLE VALVE; FNN CONTROLLERS; FUZZY NEURAL NETWORK (FNN); LEARNING CAPABILITIES; MULTIPLE NONLINEARITIES; NON LINEAR CONTROL; PLANT INFORMATION; PLANT PARAMETERS; RULE BASED; SELF-LEARNING; SELF-LEARNING CONTROL;

AUTOMOTIVE INDUSTRY; COMPUTER SIMULATION; CONTROL NONLINEARITIES; FUZZY NEURAL NETWORKS; FUZZY SETS; LEARNING ALGORITHMS; RECURRENT NEURAL NETWORKS; VALVES (MECHANICAL);

CONTROLLERS;

EID: 77958100889     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2010.2044521     Document Type: Article

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