High-power AC servo system identification research based on wavelet neural network

Applied Mechanics and Materials

Volumn 220-223, Issue , 2012, Pages 997-1002

  Hou, Runmin ^a   Liu, Rongzhong ^a   Hou, Yuanlong ^a   Gao, Qiang ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

AC servo system; RBF neural network; System identification; Wavelet neural network

Indexed keywords

AC SERVO SYSTEMS; ADAPTIVE CAPACITY; APPROXIMATION ACCURACY; CONVERGENCE RATES; NONLINEAR CHARACTERISTICS; NONLINEAR MAPPINGS; RBF NEURAL NETWORK; SELF-LEARNING; SYSTEM IDENTIFICATION METHODS; TIME-FREQUENCY LOCALIZATION; WAVELET FUNCTION; WAVELET NEURAL NETWORKS;

DESIGN; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; RADIAL BASIS FUNCTION NETWORKS; SERVOMECHANISMS;

NEURAL NETWORKS;

EID: 84870602013     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.220-223.997     Document Type: Conference Paper

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