Hybrid genetic algorithms for parameter identification of a hysteresis model of magnetostrictive actuators

Neurocomputing

Volumn 70, Issue 4-6, 2007, Pages 749-761

  Zheng, Jiaju ^a   Cao, Shuying ^b   Wang, Hongli ^a   Huang, Wenmei ^b  

^a TIANJIN UNIVERSITY   (China)

^b HEBEI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Hybrid genetic algorithms; Hysteresis; Magnetostrictive actuator; Parameter identification

Indexed keywords

ACTUATORS; COMPUTER SIMULATION; GRADIENT METHODS; IDENTIFICATION (CONTROL SYSTEMS); MAGNETIC HYSTERESIS; MATHEMATICAL MODELS;

HYBRID GENETIC ALGORITHMS; LEVENBERG-MARQUARDT ALGORITHM; MAGNETORESTRICTIVE ACTUATOR; TRUST-REGION ALGORITHM;

GENETIC ALGORITHMS;

ARTICLE; COMPUTER SIMULATION; CROSSING OVER; GENE MUTATION; GENETIC ALGORITHM; HYSTERESIS; MAGNETIC FIELD; MAGNETISM; PRIORITY JOURNAL; VALIDATION PROCESS;

EID: 33845966393     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.10.010     Document Type: Article

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