TSK-type self-organizing recurrent-neural-fuzzy control of linear microstepping motor drives

IEEE Transactions on Power Electronics

Volumn 25, Issue 9, 2010, Pages 2253-2265

  Chen, Chaio Shiung ^a  

^a DA YEH UNIVERSITY   (Taiwan)

Author keywords

Inverse dynamic control; linear microstepping motor (LMSM); self organizing network; Takagi Sugeno Kang (TSK) type recurrent neural fuzzy network (RNFN)

Indexed keywords

CHANGING ENVIRONMENT; CONTROL ARCHITECTURE; DYNAMIC CONTROLS; FUZZY NETWORKS; GRADIENT-DESCENT; INVERSE DYNAMICS; LEARNING LAW; LEARNING RATES; LYAPUNOV STABILITY; MICRO-STEPPING; MOTOR DRIVE; NETWORK PARAMETERS; NETWORK STRUCTURES; PARAMETER LEARNING; PRECISION MODEL; PRIORI KNOWLEDGE; PROPORTIONAL-DERIVATIVE CONTROLLERS; RECURRENT FUZZY RULES; RECURSIVE LEAST SQUARES ALGORITHMS; SELF ORGANIZING; SELF-ORGANIZING NETWORK; TAKAGI-SUGENO; TRAJECTORY TRACKING CONTROL;

CONTROL SYSTEMS; ELECTRIC DRIVES; FUZZY CONTROL; FUZZY RULES;

NEURAL NETWORKS;

EID: 77956925180     PISSN: 08858993     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPEL.2010.2046648     Document Type: Article

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