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Volumn , Issue , 2006, Pages 1447-1452
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Gray-box modeling of electric drives using recursive identification and radial basis functions
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Author keywords
[No Author keywords available]
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Indexed keywords
ARTIFICIAL INTELLIGENCE;
CHLORINE COMPOUNDS;
CURVE FITTING;
DC MOTORS;
DRIVES;
ELECTRIC DRIVES;
ELECTRONICS INDUSTRY;
EVOLUTIONARY ALGORITHMS;
FEEDFORWARD NEURAL NETWORKS;
INDUCTION MOTORS;
INDUSTRIAL ELECTRONICS;
LEAST SQUARES APPROXIMATIONS;
MECHANICAL DRIVES;
MODEL STRUCTURES;
MODELS;
NEURAL NETWORKS;
PARAMETER ESTIMATION;
RADIAL BASIS FUNCTION NETWORKS;
RECURSIVE FUNCTIONS;
TUNING;
VEGETATION;
ANNUAL CONFERENCE;
BLACK-BOX MODELING;
CHALLENGING TASK;
DC MOTOR DRIVES;
DRIVE CONTROL;
DRIVE SYSTEMS;
FEEDBACK LINEARIZING CONTROL;
LINEAR LEAST SQUARES;
MECHANICAL LOADS;
PARAMETER ESTIMATION ALGORITHMS;
PHYSICAL LAWS;
RADIAL BASIS NEURAL NETWORKS;
RADIAL-BASIS FUNCTIONS;
RECURSIVE IDENTIFICATION;
STATIC LOADS;
SYSTEM PERFORMANCES;
TWO STAGES;
IDENTIFICATION (CONTROL SYSTEMS);
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EID: 41349088096
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IECON.2006.348111 Document Type: Conference Paper |
Times cited : (2)
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References (9)
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