Diagonal recurrent neural network with modified backlash operators for modeling of rate-dependent hysteresis in piezoelectric actuators

Sensors and Actuators, A: Physical

Volumn 148, Issue 1, 2008, Pages 259-270

  Deng, Liang ^a   Tan, Yonghong ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b SHANGHAI NORMAL UNIVERSITY   (China)

Author keywords

Backlash; Hysteresis; Modeling; Neural networks; Piezoelectric actuator; Proximal bundle method

Indexed keywords

ACTUATORS; HYSTERESIS; MODELS; NEURAL NETWORKS; PIEZOELECTRICITY; RECURRENT NEURAL NETWORKS;

ACTIVATION FUNCTIONS; BACKLASH; DIAGONAL RECURRENT NEURAL NETWORKS; LEVENBERG-MARQUARDT ALGORITHM; MULTIVALUED MAPPINGS; NEURAL ARCHITECTURES; PROXIMAL BUNDLE METHODS; RATE-DEPENDENT HYSTERESIS;

PIEZOELECTRIC ACTUATORS;

EID: 55349091658     PISSN: 09244247     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sna.2008.08.005     Document Type: Article

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