Adaptive recurrent cerebellar model articulation controller for linear ultrasonic motor with optimal learning rates

Neurocomputing

Volumn 70, Issue 16-18, 2007, Pages 2626-2637

  Peng, Ya Fu ^a   Lin, Chih Min ^b  

^a CHING YUN UNIVERSITY   (Taiwan)

^b YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Adaptive recurrent cerebellar model articulation controller; Linear ultrasonic motor; Lyapunov function; Optimal learning rate

Indexed keywords

GRADIENT METHODS; LEARNING SYSTEMS; LYAPUNOV FUNCTIONS; MOTION CONTROL; NEURAL NETWORKS; OPTIMIZATION; SYSTEM STABILITY;

ADAPTIVE RECURRENT CEREBELLAR MODEL ARTICULATION CONTROLLER; LINEAR ULTRASONIC MOTOR;

ADAPTIVE CONTROL SYSTEMS;

ACCURACY; ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSOCIATIVE MEMORY; CEREBELLUM; COMPUTER MODEL; CONTROLLED STUDY; LEARNING; MATHEMATICAL COMPUTING; MOTION; ONLINE SYSTEM; PRIORITY JOURNAL; RECEPTIVE FIELD; ULTRASOUND;

EID: 34548148985     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.05.018     Document Type: Article

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