Neural-network hybrid control for antilock braking systems

IEEE Transactions on Neural Networks

Volumn 14, Issue 2, 2003, Pages 351-359

  Lin, Chih Min ^a   Hsu, Chun Fei ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Adaptive law; Antilock braking system; Recurrent neural network (RNN); Sliding mode control

Indexed keywords

ADAPTIVE SYSTEMS; BRAKING; CONTROL SYSTEM SYNTHESIS; FEEDFORWARD NEURAL NETWORKS; LEARNING SYSTEMS; LINEARIZATION; LYAPUNOV METHODS; OBSERVABILITY; PARAMETER ESTIMATION; SLIDING MODE CONTROL; UNCERTAIN SYSTEMS;

ANTILOCK BRAKING SYSTEMS; NEURAL NETWORK HYBRID CONTROL; PARAMETER ADAPTIVE LAW; TAYLOR LINEARIZATION;

RECURRENT NEURAL NETWORKS;

EID: 0037358586     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2002.806950     Document Type: Article

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